LECTURE NOTES ON SUBLIMINAL CHANNEL & COMMUNICATION SYSTEM

Size: px
Start display at page:

Download "LECTURE NOTES ON SUBLIMINAL CHANNEL & COMMUNICATION SYSTEM"

Transcription

1 Department of Software The University of Babylon LECTURE NOTES ON SUBLIMINAL CHANNEL & COMMUNICATION SYSTEM By Dr. Samaher Hussein Ali College of Information Technology, University of Babylon, Iraq

2 Definition of Subliminal Channel The subliminal channel is a covert communication channel that cannot be read by those for whom it is not intended. Some simple examples : occur in everyday life when we, for instance, give a certain look to a certain person, or wink, or raise an eyebrow perhaps. Here, some form of communication is occurring between two (or more) parties, and those who listen to the conversation but do not observe the communicants will not see the subliminal channel. Subliminal channels can be classified into broadband and narrow-band channel. The broadband channel uses almost all available bits. Every channel, which uses less bits, is called a narrow-band channel. The additionally used bits are needed for further protection, e.g., impersonation. Dr. Samaher Hussein Ali Notes of Lecture 13

3 Algorithm of Subliminal Channel INPUT: An n-bit, two prime number P, q (secret), a Positive integer r such that GCD(r,p)=1 and GCD(r,p)=1. OUTPUT: Two sets of binary groups C1, C0 such that we Can choose one element from each set. (X1, X2). 1: Generate 2n bits 2: Divide 2n bits into two groups C0 which represent odd Bits positions and C1 which represent even bits positions, C0 = b0, b2, b4 b2n-2 Where b denotes to a distinct bit position C1= b1, b3, b5,b2n-1 3: Convert set of all possible bits into biquinary code and These news generated codes are sent via the channel

4 Algorithm of Subliminal Channel 3.1: Calculate the meaningful message according to the Following secret equation 3.2: Calculate the meaningful message according to the Following secret equation 3.3: Sift left x1 and X2 certain times according to the following formula: X11= (x1 shift left (r/n)), Where r/n represents the number of shifts. X12=(x2 shift left(r/n)) 4: Return x11, x12 5: select new value to r for the next transmission according to the formula r =r+ α /r Where α=e (D T). 6: Go to step 1.

5 Example The two authentic meaningful messages generated when n=3, p=11, q=17, and initial value of r=3 is as follows: The numbers of all possible values are The even bits C0 = The odd bits C1 = By applying equations (1) and (2) we get two meaningful messages which are x1=010 from set C0 and x2= 101fromset C1 which are in different

6 Example The selected meaningful messages are then coded by using biquinary code( ) as illustrated in table1 Decimal Representation The original codes(421) (biquinary)

7 Applications of Subliminal Channel The most obvious application of the subliminal channel is in a spy network. If everyone sends and receives signed messages, spies will not be noticed sending subliminal messages in signed documents. Of course, the enemy s spies can do the same thing. Using a subliminal channel, Alice could safely sign a document under threat. She would, when signing the document, imbed the subliminal message. A company can sign documents and embed subliminal messages, allowing them to be tracked throughout the documents lifespans. The government can mark digital cash.

8 Types of Subliminal Channel In General there are two types of Subliminal Channel: The Broadband Channel The easiest way to establish a subliminal channel between sender and receiver using DSA is to share the authentication key x. One can then use k = m0 as the subliminal message. Hence, it is impossible to recover the subliminal message m0 without knowing x or to detect that the subliminal channel is being used, even if the adversary knows the subliminal message The Narrowband Channel The narrowband channel of DSA eliminates the necessity to share the authentication key. Simmons describes three narrowband channels in for the First narrowband channel sender and receiver have to create a shared secret prime P with P > q. The public prime p should not be used, because anybody can check the following explanations with p and therefore would be able to disclose the usage of the subliminal channel. The second narrowband channel is also a 1-bit channel. To use this channel,the transmitter and the receiver share a random binary sequence B = b1;..; bt Which can be used as a one-time key. First both agree on a bit position of r which is used to transport the subliminal message, e.g., the lowest or the with lowest bit. Then the i-th subliminal message bit in the i-th signature is XORed withthe i-th random bit bi. This method is much easier then the _first one, because the complete signature can be used to hide the subliminal message. E.g., the message itself could be chosen as subliminal message channel.

9 Example of the Broadband Channel Step1: Set-Up We chose the primes p = 2347, q = 23 and the element z = It follows that the generator g= z^(p-1)/q mod p = 1979^102 mod 2347 =266 Publishing (p; q; g). We chose the primes p = 2347, q = 23 and the element z = Step 2: Key Generation We chose the authentication key x = 1468, so that the verification key Y=g^x mod p = 266^1468 mod 2347 = Publishing y. Step 3: Signing The message m is 1337 and as hash function we chose for simplicity a modulo reduction by 107. The message hash is then calculated as h=1337 mod 107 = 53. We chose randomly the session key k = 17 r = (g^k mod p) mod q = (266^17 mod 2347) mod 23 = 12 s = k^-1(h(m) + xr) mod q = 19( ) mod 23 = 3 Sending the triple (m = 1337; r = 12; s = 3).

10 Example of the Broadband Channel Step 4: Verifying Receiving the triple (m = 1337; r = 12; s = 3). h=1337 mod 107 = 53 t=s^-1 mod q = 8 u1=ht mod q = 53 * 8 mod 23 = 10 u2=rt mod q = 12 * 8 mod 23 = 4 v = (g^u1*y^u2 mod p) mod q = (266^10*2100^4 mod 2347) mod 23 = 12 Since v = r it is accepted that the message was signed by the user, associated with the public key y.

The number theory behind cryptography

The number theory behind cryptography The University of Vermont May 16, 2017 What is cryptography? Cryptography is the practice and study of techniques for secure communication in the presence of adverse third parties. What is cryptography?

More information

Exploring Signature Schemes with Subliminal Channel

Exploring Signature Schemes with Subliminal Channel SCIS 2003 The 2003 Symposium on Cryptography and Information Security Hamamatsu,Japan, Jan.26-29,2003 The Institute of Electronics, Information and Communication Engineers Exploring Signature Schemes with

More information

TMA4155 Cryptography, Intro

TMA4155 Cryptography, Intro Trondheim, December 12, 2006. TMA4155 Cryptography, Intro 2006-12-02 Problem 1 a. We need to find an inverse of 403 modulo (19 1)(31 1) = 540: 540 = 1 403 + 137 = 17 403 50 540 + 50 403 = 67 403 50 540

More information

Assignment 2. Due: Monday Oct. 15, :59pm

Assignment 2. Due: Monday Oct. 15, :59pm Introduction To Discrete Math Due: Monday Oct. 15, 2012. 11:59pm Assignment 2 Instructor: Mohamed Omar Math 6a For all problems on assignments, you are allowed to use the textbook, class notes, and other

More information

DTTF/NB479: Dszquphsbqiz Day 30

DTTF/NB479: Dszquphsbqiz Day 30 DTTF/NB479: Dszquphsbqiz Day 30 Announcements: Questions? This week: Digital signatures, DSA Coin flipping over the phone RSA Signatures allow you to recover the message from the signature; ElGamal signatures

More information

Cryptography Math 1580 Silverman First Hour Exam Mon Oct 2, 2017

Cryptography Math 1580 Silverman First Hour Exam Mon Oct 2, 2017 Name: Cryptography Math 1580 Silverman First Hour Exam Mon Oct 2, 2017 INSTRUCTIONS Read Carefully Time: 50 minutes There are 5 problems. Write your name legibly at the top of this page. No calculators

More information

Discrete Mathematics & Mathematical Reasoning Multiplicative Inverses and Some Cryptography

Discrete Mathematics & Mathematical Reasoning Multiplicative Inverses and Some Cryptography Discrete Mathematics & Mathematical Reasoning Multiplicative Inverses and Some Cryptography Colin Stirling Informatics Some slides based on ones by Myrto Arapinis Colin Stirling (Informatics) Discrete

More information

Solutions for the Practice Final

Solutions for the Practice Final Solutions for the Practice Final 1. Ian and Nai play the game of todo, where at each stage one of them flips a coin and then rolls a die. The person who played gets as many points as the number rolled

More information

Public-key Cryptography: Theory and Practice

Public-key Cryptography: Theory and Practice Public-key Cryptography Theory and Practice Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Chapter 5: Cryptographic Algorithms Common Encryption Algorithms RSA

More information

Public Key Cryptography Great Ideas in Theoretical Computer Science Saarland University, Summer 2014

Public Key Cryptography Great Ideas in Theoretical Computer Science Saarland University, Summer 2014 7 Public Key Cryptography Great Ideas in Theoretical Computer Science Saarland University, Summer 2014 Cryptography studies techniques for secure communication in the presence of third parties. A typical

More information

Public Key Encryption

Public Key Encryption Math 210 Jerry L. Kazdan Public Key Encryption The essence of this procedure is that as far as we currently know, it is difficult to factor a number that is the product of two primes each having many,

More information

Lecture 32. Handout or Document Camera or Class Exercise. Which of the following is equal to [53] [5] 1 in Z 7? (Do not use a calculator.

Lecture 32. Handout or Document Camera or Class Exercise. Which of the following is equal to [53] [5] 1 in Z 7? (Do not use a calculator. Lecture 32 Instructor s Comments: This is a make up lecture. You can choose to cover many extra problems if you wish or head towards cryptography. I will probably include the square and multiply algorithm

More information

Cryptography. 2. decoding is extremely difficult (for protection against eavesdroppers);

Cryptography. 2. decoding is extremely difficult (for protection against eavesdroppers); 18.310 lecture notes September 2, 2013 Cryptography Lecturer: Michel Goemans 1 Public Key Cryptosystems In these notes, we will be concerned with constructing secret codes. A sender would like to encrypt

More information

Public Key Cryptography

Public Key Cryptography Public Key Cryptography How mathematics allows us to send our most secret messages quite openly without revealing their contents - except only to those who are supposed to read them The mathematical ideas

More information

ElGamal Public-Key Encryption and Signature

ElGamal Public-Key Encryption and Signature ElGamal Public-Key Encryption and Signature Çetin Kaya Koç koc@cs.ucsb.edu Çetin Kaya Koç http://koclab.org Winter 2017 1 / 10 ElGamal Cryptosystem and Signature Scheme Taher ElGamal, originally from Egypt,

More information

Introduction. and Z r1 Z rn. This lecture aims to provide techniques. CRT during the decription process in RSA is explained.

Introduction. and Z r1 Z rn. This lecture aims to provide techniques. CRT during the decription process in RSA is explained. THE CHINESE REMAINDER THEOREM INTRODUCED IN A GENERAL KONTEXT Introduction The rst Chinese problem in indeterminate analysis is encountered in a book written by the Chinese mathematician Sun Tzi. The problem

More information

Mathematics Explorers Club Fall 2012 Number Theory and Cryptography

Mathematics Explorers Club Fall 2012 Number Theory and Cryptography Mathematics Explorers Club Fall 2012 Number Theory and Cryptography Chapter 0: Introduction Number Theory enjoys a very long history in short, number theory is a study of integers. Mathematicians over

More information

Applications of Fermat s Little Theorem and Congruences

Applications of Fermat s Little Theorem and Congruences Applications of Fermat s Little Theorem and Congruences Definition: Let m be a positive integer. Then integers a and b are congruent modulo m, denoted by a b mod m, if m (a b). Example: 3 1 mod 2, 6 4

More information

DUBLIN CITY UNIVERSITY

DUBLIN CITY UNIVERSITY DUBLIN CITY UNIVERSITY SEMESTER ONE EXAMINATIONS 2013/2014 MODULE: CA642/A Cryptography and Number Theory PROGRAMME(S): MSSF MCM ECSA ECSAO MSc in Security & Forensic Computing M.Sc. in Computing Study

More information

Math 319 Problem Set #7 Solution 18 April 2002

Math 319 Problem Set #7 Solution 18 April 2002 Math 319 Problem Set #7 Solution 18 April 2002 1. ( 2.4, problem 9) Show that if x 2 1 (mod m) and x / ±1 (mod m) then 1 < (x 1, m) < m and 1 < (x + 1, m) < m. Proof: From x 2 1 (mod m) we get m (x 2 1).

More information

Gustavus J. Simmons Sandia National Laboratories Applied Mathematics Department Albuquerque, New Mexico Introduction

Gustavus J. Simmons Sandia National Laboratories Applied Mathematics Department Albuquerque, New Mexico Introduction A SECURE SUBLIMINAL CHANNZL (?) Gustavus J. Simmons Sandia National Laboratories Applied Mathematics Department Albuquerque, New Mexico 87185 Introduction At Crypto'83, the present author showed that a

More information

Chapter 3 LEAST SIGNIFICANT BIT STEGANOGRAPHY TECHNIQUE FOR HIDING COMPRESSED ENCRYPTED DATA USING VARIOUS FILE FORMATS

Chapter 3 LEAST SIGNIFICANT BIT STEGANOGRAPHY TECHNIQUE FOR HIDING COMPRESSED ENCRYPTED DATA USING VARIOUS FILE FORMATS 44 Chapter 3 LEAST SIGNIFICANT BIT STEGANOGRAPHY TECHNIQUE FOR HIDING COMPRESSED ENCRYPTED DATA USING VARIOUS FILE FORMATS 45 CHAPTER 3 Chapter 3: LEAST SIGNIFICANT BIT STEGANOGRAPHY TECHNIQUE FOR HIDING

More information

Math 1111 Math Exam Study Guide

Math 1111 Math Exam Study Guide Math 1111 Math Exam Study Guide The math exam will cover the mathematical concepts and techniques we ve explored this semester. The exam will not involve any codebreaking, although some questions on the

More information

Fermat s little theorem. RSA.

Fermat s little theorem. RSA. .. Computing large numbers modulo n (a) In modulo arithmetic, you can always reduce a large number to its remainder a a rem n (mod n). (b) Addition, subtraction, and multiplication preserve congruence:

More information

Digital Image Watermarking by Spread Spectrum method

Digital Image Watermarking by Spread Spectrum method Digital Image Watermarking by Spread Spectrum method Andreja Samčovi ović Faculty of Transport and Traffic Engineering University of Belgrade, Serbia Belgrade, november 2014. I Spread Spectrum Techniques

More information

EE 418: Network Security and Cryptography

EE 418: Network Security and Cryptography EE 418: Network Security and Cryptography Homework 3 Solutions Assigned: Wednesday, November 2, 2016, Due: Thursday, November 10, 2016 Instructor: Tamara Bonaci Department of Electrical Engineering University

More information

Solution: Alice tosses a coin and conveys the result to Bob. Problem: Alice can choose any result.

Solution: Alice tosses a coin and conveys the result to Bob. Problem: Alice can choose any result. Example - Coin Toss Coin Toss: Alice and Bob want to toss a coin. Easy to do when they are in the same room. How can they toss a coin over the phone? Mutual Commitments Solution: Alice tosses a coin and

More information

Cryptography, Number Theory, and RSA

Cryptography, Number Theory, and RSA Cryptography, Number Theory, and RSA Joan Boyar, IMADA, University of Southern Denmark November 2015 Outline Symmetric key cryptography Public key cryptography Introduction to number theory RSA Modular

More information

Discrete Square Root. Çetin Kaya Koç Winter / 11

Discrete Square Root. Çetin Kaya Koç  Winter / 11 Discrete Square Root Çetin Kaya Koç koc@cs.ucsb.edu Çetin Kaya Koç http://koclab.cs.ucsb.edu Winter 2017 1 / 11 Discrete Square Root Problem The discrete square root problem is defined as the computation

More information

International Journal of Advance Engineering and Research Development IMAGE BASED STEGANOGRAPHY REVIEW OF LSB AND HASH-LSB TECHNIQUES

International Journal of Advance Engineering and Research Development IMAGE BASED STEGANOGRAPHY REVIEW OF LSB AND HASH-LSB TECHNIQUES Scientific Journal of Impact Factor (SJIF) : 3.134 ISSN (Print) : 2348-6406 ISSN (Online): 2348-4470 ed International Journal of Advance Engineering and Research Development IMAGE BASED STEGANOGRAPHY REVIEW

More information

Cryptography CS 555. Topic 20: Other Public Key Encryption Schemes. CS555 Topic 20 1

Cryptography CS 555. Topic 20: Other Public Key Encryption Schemes. CS555 Topic 20 1 Cryptography CS 555 Topic 20: Other Public Key Encryption Schemes Topic 20 1 Outline and Readings Outline Quadratic Residue Rabin encryption Goldwasser-Micali Commutative encryption Homomorphic encryption

More information

Linear Congruences. The solutions to a linear congruence ax b (mod m) are all integers x that satisfy the congruence.

Linear Congruences. The solutions to a linear congruence ax b (mod m) are all integers x that satisfy the congruence. Section 4.4 Linear Congruences Definition: A congruence of the form ax b (mod m), where m is a positive integer, a and b are integers, and x is a variable, is called a linear congruence. The solutions

More information

Example Enemy agents are trying to invent a new type of cipher. They decide on the following encryption scheme: Plaintext converts to Ciphertext

Example Enemy agents are trying to invent a new type of cipher. They decide on the following encryption scheme: Plaintext converts to Ciphertext Cryptography Codes Lecture 3: The Times Cipher, Factors, Zero Divisors, and Multiplicative Inverses Spring 2015 Morgan Schreffler Office: POT 902 http://www.ms.uky.edu/~mschreffler New Cipher Times Enemy

More information

Generic Attacks on Feistel Schemes

Generic Attacks on Feistel Schemes Generic Attacks on Feistel Schemes Jacques Patarin 1, 1 CP8 Crypto Lab, SchlumbergerSema, 36-38 rue de la Princesse, BP 45, 78430 Louveciennes Cedex, France PRiSM, University of Versailles, 45 av. des

More information

Codebreaker Lesson Plan

Codebreaker Lesson Plan Codebreaker Lesson Plan Summary The game Mastermind (figure 1) is a plastic puzzle game in which one player (the codemaker) comes up with a secret code consisting of 4 colors chosen from red, green, blue,

More information

Math 1111 Math Exam Study Guide

Math 1111 Math Exam Study Guide Math 1111 Math Exam Study Guide The math exam will cover the mathematical concepts and techniques we ve explored this semester. The exam will not involve any codebreaking, although some questions on the

More information

Security in Sensor Networks. Written by: Prof. Srdjan Capkun & Others Presented By : Siddharth Malhotra Mentor: Roland Flury

Security in Sensor Networks. Written by: Prof. Srdjan Capkun & Others Presented By : Siddharth Malhotra Mentor: Roland Flury Security in Sensor Networks Written by: Prof. Srdjan Capkun & Others Presented By : Siddharth Malhotra Mentor: Roland Flury Mobile Ad-hoc Networks (MANET) Mobile Random and perhaps constantly changing

More information

Number Theory. Konkreetne Matemaatika

Number Theory. Konkreetne Matemaatika ITT9131 Number Theory Konkreetne Matemaatika Chapter Four Divisibility Primes Prime examples Factorial Factors Relative primality `MOD': the Congruence Relation Independent Residues Additional Applications

More information

MA 111, Topic 2: Cryptography

MA 111, Topic 2: Cryptography MA 111, Topic 2: Cryptography Our next topic is something called Cryptography, the mathematics of making and breaking Codes! In the most general sense, Cryptography is the mathematical ideas behind changing

More information

Diffie-Hellman key-exchange protocol

Diffie-Hellman key-exchange protocol Diffie-Hellman key-exchange protocol This protocol allows two users to choose a common secret key, for DES or AES, say, while communicating over an insecure channel (with eavesdroppers). The two users

More information

Modular arithmetic Math 2320

Modular arithmetic Math 2320 Modular arithmetic Math 220 Fix an integer m 2, called the modulus. For any other integer a, we can use the division algorithm to write a = qm + r. The reduction of a modulo m is the remainder r resulting

More information

Application: Public Key Cryptography. Public Key Cryptography

Application: Public Key Cryptography. Public Key Cryptography Application: Public Key Cryptography Suppose I wanted people to send me secret messages by snail mail Method 0. I send a padlock, that only I have the key to, to everyone who might want to send me a message.

More information

Merkle s Puzzles. c Eli Biham - May 3, Merkle s Puzzles (8)

Merkle s Puzzles. c Eli Biham - May 3, Merkle s Puzzles (8) Merkle s Puzzles See: Merkle, Secrecy, Authentication, and Public Key Systems, UMI Research press, 1982 Merkle, Secure Communications Over Insecure Channels, CACM, Vol. 21, No. 4, pp. 294-299, April 1978

More information

II. RC4 Cryptography is the art of communication protection. This art is scrambling a message so it cannot be clear; it

II. RC4 Cryptography is the art of communication protection. This art is scrambling a message so it cannot be clear; it Enhancement of RC4 Algorithm using PUF * Ziyad Tariq Mustafa Al-Ta i, * Dhahir Abdulhade Abdullah, Saja Talib Ahmed *Department of Computer Science - College of Science - University of Diyala - Iraq Abstract:

More information

Congruence properties of the binary partition function

Congruence properties of the binary partition function Congruence properties of the binary partition function 1. Introduction. We denote by b(n) the number of binary partitions of n, that is the number of partitions of n as the sum of powers of 2. As usual,

More information

ON SPLITTING UP PILES OF STONES

ON SPLITTING UP PILES OF STONES ON SPLITTING UP PILES OF STONES GREGORY IGUSA Abstract. In this paper, I describe the rules of a game, and give a complete description of when the game can be won, and when it cannot be won. The first

More information

Classical Cryptography

Classical Cryptography Classical Cryptography CS 6750 Lecture 1 September 10, 2009 Riccardo Pucella Goals of Classical Cryptography Alice wants to send message X to Bob Oscar is on the wire, listening to all communications Alice

More information

p 1 MAX(a,b) + MIN(a,b) = a+b n m means that m is a an integer multiple of n. Greatest Common Divisor: We say that n divides m.

p 1 MAX(a,b) + MIN(a,b) = a+b n m means that m is a an integer multiple of n. Greatest Common Divisor: We say that n divides m. Great Theoretical Ideas In Computer Science Steven Rudich CS - Spring Lecture Feb, Carnegie Mellon University Modular Arithmetic and the RSA Cryptosystem p- p MAX(a,b) + MIN(a,b) = a+b n m means that m

More information

Example Enemy agents are trying to invent a new type of cipher. They decide on the following encryption scheme: Plaintext converts to Ciphertext

Example Enemy agents are trying to invent a new type of cipher. They decide on the following encryption scheme: Plaintext converts to Ciphertext Cryptography Codes Lecture 4: The Times Cipher, Factors, Zero Divisors, and Multiplicative Inverses Spring 2014 Morgan Schreffler Office: POT 902 http://www.ms.uky.edu/~mschreffler New Cipher Times Enemy

More information

University of British Columbia. Math 312, Midterm, 6th of June 2017

University of British Columbia. Math 312, Midterm, 6th of June 2017 University of British Columbia Math 312, Midterm, 6th of June 2017 Name (please be legible) Signature Student number Duration: 90 minutes INSTRUCTIONS This test has 7 problems for a total of 100 points.

More information

The Chinese Remainder Theorem

The Chinese Remainder Theorem The Chinese Remainder Theorem Theorem. Let n 1,..., n r be r positive integers relatively prime in pairs. (That is, gcd(n i, n j ) = 1 whenever 1 i < j r.) Let a 1,..., a r be any r integers. Then the

More information

Lecture 28: Applications of Crypto Protocols

Lecture 28: Applications of Crypto Protocols U.C. Berkeley Lecture 28 CS276: Cryptography April 27, 2006 Professor David Wagner Scribe: Scott Monasch Lecture 28: Applications of Crypto Protocols 1 Electronic Payment Protocols For this section we

More information

Meta-data based secret image sharing application for different sized biomedical

Meta-data based secret image sharing application for different sized biomedical Biomedical Research 2018; Special Issue: S394-S398 ISSN 0970-938X www.biomedres.info Meta-data based secret image sharing application for different sized biomedical images. Arunkumar S 1*, Subramaniyaswamy

More information

Data security (Cryptography) exercise book

Data security (Cryptography) exercise book University of Debrecen Faculty of Informatics Data security (Cryptography) exercise book 1 Contents 1 RSA 4 1.1 RSA in general.................................. 4 1.2 RSA background.................................

More information

Yale University Department of Computer Science

Yale University Department of Computer Science LUX ETVERITAS Yale University Department of Computer Science Secret Bit Transmission Using a Random Deal of Cards Michael J. Fischer Michael S. Paterson Charles Rackoff YALEU/DCS/TR-792 May 1990 This work

More information

Knights, Spies, Games and Social Networks

Knights, Spies, Games and Social Networks Knights, Spies, Games and Social Networks Mark Wildon 16 February 2010 The Knights and Spies Problem In a room there are 100 people. Each person is either a knight or a spy. Knights always tell the truth,

More information

Wireless Network Security Spring 2014

Wireless Network Security Spring 2014 Wireless Network Security 14-814 Spring 2014 Patrick Tague Class #5 Jamming 2014 Patrick Tague 1 Travel to Pgh: Announcements I'll be on the other side of the camera on Feb 4 Let me know if you'd like

More information

Outline. Communications Engineering 1

Outline. Communications Engineering 1 Outline Introduction Signal, random variable, random process and spectra Analog modulation Analog to digital conversion Digital transmission through baseband channels Signal space representation Optimal

More information

Math 127: Equivalence Relations

Math 127: Equivalence Relations Math 127: Equivalence Relations Mary Radcliffe 1 Equivalence Relations Relations can take many forms in mathematics. In these notes, we focus especially on equivalence relations, but there are many other

More information

A REMARK ON A PAPER OF LUCA AND WALSH 1. Zhao-Jun Li Department of Mathematics, Anhui Normal University, Wuhu, China. Min Tang 2.

A REMARK ON A PAPER OF LUCA AND WALSH 1. Zhao-Jun Li Department of Mathematics, Anhui Normal University, Wuhu, China. Min Tang 2. #A40 INTEGERS 11 (2011) A REMARK ON A PAPER OF LUCA AND WALSH 1 Zhao-Jun Li Department of Mathematics, Anhui Normal University, Wuhu, China Min Tang 2 Department of Mathematics, Anhui Normal University,

More information

Information hiding in fingerprint image

Information hiding in fingerprint image Information hiding in fingerprint image Abstract Prof. Dr. Tawfiq A. Al-Asadi a, MSC. Student Ali Abdul Azzez Mohammad Baker b a Information Technology collage, Babylon University b Department of computer

More information

Generic Attacks on Feistel Schemes

Generic Attacks on Feistel Schemes Generic Attacks on Feistel Schemes -Extended Version- Jacques Patarin PRiSM, University of Versailles, 45 av. des États-Unis, 78035 Versailles Cedex, France This paper is the extended version of the paper

More information

Wireless Network Security Spring 2016

Wireless Network Security Spring 2016 Wireless Network Security Spring 2016 Patrick Tague Class #4 Physical Layer Threats; Jamming 2016 Patrick Tague 1 Class #4 PHY layer basics and threats Jamming 2016 Patrick Tague 2 PHY 2016 Patrick Tague

More information

LSB Encoding. Technical Paper by Mark David Gan

LSB Encoding. Technical Paper by Mark David Gan Technical Paper by Mark David Gan Chameleon is an image steganography software developed by Mark David Gan for his thesis at STI College Bacoor, a computer college of the STI Network in the Philippines.

More information

Number Theory and Public Key Cryptography Kathryn Sommers

Number Theory and Public Key Cryptography Kathryn Sommers Page!1 Math 409H Fall 2016 Texas A&M University Professor: David Larson Introduction Number Theory and Public Key Cryptography Kathryn Sommers Number theory is a very broad and encompassing subject. At

More information

Symmetric-key encryption scheme based on the strong generating sets of permutation groups

Symmetric-key encryption scheme based on the strong generating sets of permutation groups Symmetric-key encryption scheme based on the strong generating sets of permutation groups Ara Alexanyan Faculty of Informatics and Applied Mathematics Yerevan State University Yerevan, Armenia Hakob Aslanyan

More information

Non-overlapping permutation patterns

Non-overlapping permutation patterns PU. M. A. Vol. 22 (2011), No.2, pp. 99 105 Non-overlapping permutation patterns Miklós Bóna Department of Mathematics University of Florida 358 Little Hall, PO Box 118105 Gainesville, FL 326118105 (USA)

More information

2. Nine points are distributed around a circle in such a way that when all ( )

2. Nine points are distributed around a circle in such a way that when all ( ) 1. How many circles in the plane contain at least three of the points (0, 0), (0, 1), (0, 2), (1, 0), (1, 1), (1, 2), (2, 0), (2, 1), (2, 2)? Solution: There are ( ) 9 3 = 8 three element subsets, all

More information

1.6 Congruence Modulo m

1.6 Congruence Modulo m 1.6 Congruence Modulo m 47 5. Let a, b 2 N and p be a prime. Prove for all natural numbers n 1, if p n (ab) and p - a, then p n b. 6. In the proof of Theorem 1.5.6 it was stated that if n is a prime number

More information

The Sign of a Permutation Matt Baker

The Sign of a Permutation Matt Baker The Sign of a Permutation Matt Baker Let σ be a permutation of {1, 2,, n}, ie, a one-to-one and onto function from {1, 2,, n} to itself We will define what it means for σ to be even or odd, and then discuss

More information

AN INTRODUCTION TO ERROR CORRECTING CODES Part 2

AN INTRODUCTION TO ERROR CORRECTING CODES Part 2 AN INTRODUCTION TO ERROR CORRECTING CODES Part Jack Keil Wolf ECE 54 C Spring BINARY CONVOLUTIONAL CODES A binary convolutional code is a set of infinite length binary sequences which satisfy a certain

More information

Random Sequences for Choosing Base States and Rotations in Quantum Cryptography

Random Sequences for Choosing Base States and Rotations in Quantum Cryptography Random Sequences for Choosing Base States and Rotations in Quantum Cryptography Sindhu Chitikela Department of Computer Science Oklahoma State University Stillwater, OK, USA sindhu.chitikela@okstate.edu

More information

A Copyright Information Embedding System

A Copyright Information Embedding System IJIRST International Journal for Innovative Research in Science & Technology Volume 1 Issue 11 April 2015 ISSN (online): 2349-6010 A Copyright Information Embedding System Sreeresmi T.S Assistant Professor

More information

Lab S-3: Beamforming with Phasors. N r k. is the time shift applied to r k

Lab S-3: Beamforming with Phasors. N r k. is the time shift applied to r k DSP First, 2e Signal Processing First Lab S-3: Beamforming with Phasors Pre-Lab: Read the Pre-Lab and do all the exercises in the Pre-Lab section prior to attending lab. Verification: The Exercise section

More information

methods for subliminal channels Kazukuni Kobara and Hideki Imai Institute of Industrial Science, The University of Tokyo

methods for subliminal channels Kazukuni Kobara and Hideki Imai Institute of Industrial Science, The University of Tokyo In Proc. of International Conference on Information and Communications Security (ICICS'97) : LNCS 1334, pp.325{334,(1997) Self-synchronized message randomization methods for subliminal channels Kazukuni

More information

A Steganography Algorithm for Hiding Secret Message inside Image using Random Key

A Steganography Algorithm for Hiding Secret Message inside Image using Random Key A Steganography Algorithm for Hiding Secret Message inside Image using Random Key Balvinder Singh Sahil Kataria Tarun Kumar Narpat Singh Shekhawat Abstract "Steganography is a Greek origin word which means

More information

Robust Key Establishment in Sensor Networks

Robust Key Establishment in Sensor Networks Robust Key Establishment in Sensor Networks Yongge Wang Abstract Secure communication guaranteeing reliability, authenticity, and privacy in sensor networks with active adversaries is a challenging research

More information

Lecture 8. Outline. 1. Modular Arithmetic. Clock Math!!! 2. Inverses for Modular Arithmetic: Greatest Common Divisor. 3. Euclid s GCD Algorithm

Lecture 8. Outline. 1. Modular Arithmetic. Clock Math!!! 2. Inverses for Modular Arithmetic: Greatest Common Divisor. 3. Euclid s GCD Algorithm Lecture 8. Outline. 1. Modular Arithmetic. Clock Math!!! 2. Inverses for Modular Arithmetic: Greatest Common Divisor. 3. Euclid s GCD Algorithm Clock Math If it is 1:00 now. What time is it in 5 hours?

More information

The Chinese Remainder Theorem

The Chinese Remainder Theorem The Chinese Remainder Theorem Theorem. Let m and n be two relatively prime positive integers. Let a and b be any two integers. Then the two congruences x a (mod m) x b (mod n) have common solutions. Any

More information

A Watermark for Image Integrity and Ownership Verification

A Watermark for Image Integrity and Ownership Verification A Watermark for Image Integrity and Ownership Verification Ping Wah Wong Hewlett Packard Company, 11000 Wolfe Road, Cupertino, CA 95014 Abstract We describe in this paper a ing scheme for ownership verification

More information

Lecture 4: Wireless Physical Layer: Channel Coding. Mythili Vutukuru CS 653 Spring 2014 Jan 16, Thursday

Lecture 4: Wireless Physical Layer: Channel Coding. Mythili Vutukuru CS 653 Spring 2014 Jan 16, Thursday Lecture 4: Wireless Physical Layer: Channel Coding Mythili Vutukuru CS 653 Spring 2014 Jan 16, Thursday Channel Coding Modulated waveforms disrupted by signal propagation through wireless channel leads

More information

AN EXTENDED VISUAL CRYPTOGRAPHY SCHEME WITHOUT PIXEL EXPANSION FOR HALFTONE IMAGES. N. Askari, H.M. Heys, and C.R. Moloney

AN EXTENDED VISUAL CRYPTOGRAPHY SCHEME WITHOUT PIXEL EXPANSION FOR HALFTONE IMAGES. N. Askari, H.M. Heys, and C.R. Moloney 26TH ANNUAL IEEE CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING YEAR 2013 AN EXTENDED VISUAL CRYPTOGRAPHY SCHEME WITHOUT PIXEL EXPANSION FOR HALFTONE IMAGES N. Askari, H.M. Heys, and C.R. Moloney

More information

Instructions [CT+PT Treatment]

Instructions [CT+PT Treatment] Instructions [CT+PT Treatment] 1. Overview Welcome to this experiment in the economics of decision-making. Please read these instructions carefully as they explain how you earn money from the decisions

More information

LECTURE 3: CONGRUENCES. 1. Basic properties of congruences We begin by introducing some definitions and elementary properties.

LECTURE 3: CONGRUENCES. 1. Basic properties of congruences We begin by introducing some definitions and elementary properties. LECTURE 3: CONGRUENCES 1. Basic properties of congruences We begin by introducing some definitions and elementary properties. Definition 1.1. Suppose that a, b Z and m N. We say that a is congruent to

More information

An Integrated Image Steganography System. with Improved Image Quality

An Integrated Image Steganography System. with Improved Image Quality Applied Mathematical Sciences, Vol. 7, 2013, no. 71, 3545-3553 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2013.34236 An Integrated Image Steganography System with Improved Image Quality

More information

Physical Layer: Modulation, FEC. Wireless Networks: Guevara Noubir. S2001, COM3525 Wireless Networks Lecture 3, 1

Physical Layer: Modulation, FEC. Wireless Networks: Guevara Noubir. S2001, COM3525 Wireless Networks Lecture 3, 1 Wireless Networks: Physical Layer: Modulation, FEC Guevara Noubir Noubir@ccsneuedu S, COM355 Wireless Networks Lecture 3, Lecture focus Modulation techniques Bit Error Rate Reducing the BER Forward Error

More information

Implementation of Colored Visual Cryptography for Generating Digital and Physical Shares

Implementation of Colored Visual Cryptography for Generating Digital and Physical Shares Implementation of Colored Visual Cryptography for Generating Digital and Physical Shares Ahmad Zaky 13512076 1 Program Studi Teknik Informatika Sekolah Teknik Elektro dan Informatika Institut Teknologi

More information

NON-OVERLAPPING PERMUTATION PATTERNS. To Doron Zeilberger, for his Sixtieth Birthday

NON-OVERLAPPING PERMUTATION PATTERNS. To Doron Zeilberger, for his Sixtieth Birthday NON-OVERLAPPING PERMUTATION PATTERNS MIKLÓS BÓNA Abstract. We show a way to compute, to a high level of precision, the probability that a randomly selected permutation of length n is nonoverlapping. As

More information

SOLUTIONS TO PROBLEM SET 5. Section 9.1

SOLUTIONS TO PROBLEM SET 5. Section 9.1 SOLUTIONS TO PROBLEM SET 5 Section 9.1 Exercise 2. Recall that for (a, m) = 1 we have ord m a divides φ(m). a) We have φ(11) = 10 thus ord 11 3 {1, 2, 5, 10}. We check 3 1 3 (mod 11), 3 2 9 (mod 11), 3

More information

Lecture 9: Spread Spectrum Modulation Techniques

Lecture 9: Spread Spectrum Modulation Techniques Lecture 9: Spread Spectrum Modulation Techniques Spread spectrum (SS) modulation techniques employ a transmission bandwidth which is several orders of magnitude greater than the minimum required bandwidth

More information

The figures and the logic used for the MATLAB are given below.

The figures and the logic used for the MATLAB are given below. MATLAB FIGURES & PROGRAM LOGIC: Transmitter: The figures and the logic used for the MATLAB are given below. Binary Data Sequence: For our project we assume that we have the digital binary data stream.

More information

NUMBER THEORY AMIN WITNO

NUMBER THEORY AMIN WITNO NUMBER THEORY AMIN WITNO.. w w w. w i t n o. c o m Number Theory Outlines and Problem Sets Amin Witno Preface These notes are mere outlines for the course Math 313 given at Philadelphia

More information

Hamming Codes as Error-Reducing Codes

Hamming Codes as Error-Reducing Codes Hamming Codes as Error-Reducing Codes William Rurik Arya Mazumdar Abstract Hamming codes are the first nontrivial family of error-correcting codes that can correct one error in a block of binary symbols.

More information

Caltech Harvey Mudd Mathematics Competition February 20, 2010

Caltech Harvey Mudd Mathematics Competition February 20, 2010 Mixer Round Solutions Caltech Harvey Mudd Mathematics Competition February 0, 00. (Ying-Ying Tran) Compute x such that 009 00 x (mod 0) and 0 x < 0. Solution: We can chec that 0 is prime. By Fermat s Little

More information

Solutions for the Practice Questions

Solutions for the Practice Questions Solutions for the Practice Questions Question 1. Find all solutions to the congruence 13x 12 (mod 35). Also, answer the following questions about the solutions to the above congruence. Are there solutions

More information

6.2 Modular Arithmetic

6.2 Modular Arithmetic 6.2 Modular Arithmetic Every reader is familiar with arithmetic from the time they are three or four years old. It is the study of numbers and various ways in which we can combine them, such as through

More information

ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2013

ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2013 ECE 5325/6325: Wireless Communication Systems Lecture Notes, Spring 2013 Lecture 17 Today: Spread Spectrum: (1) Frequency Hopping, (2) Direct Sequence Reading: Today Molisch 18.1, 18.2. Thu: MUSE Channel

More information

LECTURE 7: POLYNOMIAL CONGRUENCES TO PRIME POWER MODULI

LECTURE 7: POLYNOMIAL CONGRUENCES TO PRIME POWER MODULI LECTURE 7: POLYNOMIAL CONGRUENCES TO PRIME POWER MODULI 1. Hensel Lemma for nonsingular solutions Although there is no analogue of Lagrange s Theorem for prime power moduli, there is an algorithm for determining

More information

Solutions for the 2nd Practice Midterm

Solutions for the 2nd Practice Midterm Solutions for the 2nd Practice Midterm 1. (a) Use the Euclidean Algorithm to find the greatest common divisor of 44 and 17. The Euclidean Algorithm yields: 44 = 2 17 + 10 17 = 1 10 + 7 10 = 1 7 + 3 7 =

More information

Xor. Isomorphisms. CS70: Lecture 9. Outline. Is public key crypto possible? Cryptography... Public key crypography.

Xor. Isomorphisms. CS70: Lecture 9. Outline. Is public key crypto possible? Cryptography... Public key crypography. CS70: Lecture 9. Outline. 1. Public Key Cryptography 2. RSA system 2.1 Efficiency: Repeated Squaring. 2.2 Correctness: Fermat s Theorem. 2.3 Construction. 3. Warnings. Cryptography... m = D(E(m,s),s) Alice

More information