Jamming Wireless Networks: Attack and Defense Strategies
|
|
- Wesley Bishop
- 6 years ago
- Views:
Transcription
1 Jamming Wireless Networks: Attack and Defense Strategies Wenyuan Xu, Ke Ma, Wade Trappe, Yanyong Zhang, WINLAB, Rutgers University IAB, Dec. 6 th, 2005
2 Roadmap Introduction and Motivation Jammer Models Four models Their effectiveness Detecting Jamming attacks Basic statistic + Consistency check Defenses strategy Channel surfing Spatial retreat Conclusions 2
3 Jammers Hi Alice Mr. X Jamming style DoS Attack: Behavior that prevents other nodes from using the channel to communicate by occupying the channel that they are communicating on A jammer An entity who is purposefully trying to interfere with the physical transmission and reception of wireless communications. Is it hard to build a jammer? No! Haha Mr. X 3
4 Jammers Hardware Cell phone jammer unit: Intended for blocking all mobile phone types within designated indoor areas 'plug and play' unit Waveform Generator Tune frequency to what ever you want MAC-layer Jammer (our focus) Mica2 Motes (UC Berkeley) 8-bit CPU at 4MHz, 128KB flash, 4KB RAM 916.7MHz radio OS: TinyOS Disable the CSMA Keep sending out the preamble 4
5 Jammers Hardware Cell phone jammer unit: Intended for blocking all mobile phone types within designated indoor areas 'plug and play' unit Waveform Generator Tune frequency to what ever you want MAC-layer Jammer (our focus) Mica2 Motes (UC Berkeley) 8-bit CPU at 4MHz, 128KB flash, 4KB RAM 916.7MHz radio OS: TinyOS Disable the CSMA Keep sending out the preamble 5
6 Jammers Hardware Cell phone jammer unit: Intended for blocking all mobile phone types within designated indoor areas 'plug and play' unit Waveform Generator Tune frequency to what ever you want MAC-layer Jammer laptop Mica2 Motes (UC Berkeley) 8-bit CPU at 4MHz, 128KB flash, 4KB RAM 916.7MHz radio OS: TinyOS Disable the CSMA Keep sending out the preamble 6
7 The Jammer Models and Their Effectiveness
8 Jammer Attack Models &F*(SDJFFD(*MC*(^%&^*&(%*)(*)_*^&*FS. Constant jammer: Continuously emits a radio signal Preamble CRC Payload Payload Payload Payload Payload Deceptive jammer: Constantly injects regular packets to the channel without any gap between consecutive packet transmissions A normal communicator will be deceived into the receive state 8
9 Jammer Attack Models &F*(SDJF ^F&*D( D*KC*I^ Random jammer: Alternates between sleeping and jamming Sleeping period: turn off the radio Jamming period: either a constant jammer or deceptive jammer Underling normal traffic Payload &F*(SDJ Payload ^%^*& Payload CD*(&FG Reactive jammer: Stays quiet when the channel is idle, starts transmitting a radio signal as soon as it senses activity on the channel. Targets the reception of a message 9
10 Detecting Jamming Attacks: Basic Statistics plus Consistency Checks
11 Basic Statistics P.1 Idea: Many measurement will be affected by the presence of a jammer Network devices can gather measurements during a time period prior to jamming and build a statistical model describing basic measurement in the network Measurement Signal strength Moving average Spectral discrimination Carrier sensing time Packet delivery ratio Experiment platform: Mica2 Motes Use RSSI ADC to measure the signal strength RSSI (dbm) CBR MaxTraffic Constant Jammer Deceptive Jammer Reactive Jammer Random Jammer sample sequence number 11
12 Basic Statistics P.2 Can basic statistics differentiate between jamming scenario from a normal scenario including congestion? Average Signal strength Spectral Discrimination Carrier sensing time Packet delivery ratio Constant Jammer Deceptive Jammer Random Jammer Reactive Jammer Differentiate jamming scenario from all network dynamics, e.g. congestion, hardware failure PDR is a relative good statistic, but cannot do hardware failure Consistency checks --- using Signal strength Normal scenarios: High signal strength a high PDR Low signal strength a low PDR Low PDR: Hardware failure or poor link quality low signal strength Jamming attack high signal strength 12
13 Jamming Detection with Consistency Checks Measure PDR(N) {N Є Neighbors} PDR(N) < PDRThresh? No Build a (PDR,SS) look-up table empirically Measure (PDR, SS) during a guaranteed time of non-interfered network. Divide the data into PDR bins, calculate the mean and variance for the data within each bin. Get the upper bound for the maximum SS that world have produced a particular PDR value during a normal case. Partition the (PDR, SS) plane into a jammedregion and a non-jammed region. Not Jammed PDR VS. SS Yes PDR(N) consistent with signal strength? Yes Jammed Region No SS(dBm) Jammed! PDR % 13
14 Defenses against Jamming Attacks: Channel Surfing and Spatial Retreat
15 Handling Jamming: Strategies What can you do when your channel is occupied? In wired network you can cut the link that causes the problem, but in wireless Make the building as resistant as possible to incoming radio signals? Find the jamming source and shoot it down? Battery drain defenses/attacks are not realistic! Protecting networks is a constant battle between the security expert and the clever adversary. Therefore, we take motivation from The Art of War by Sun Tze: He who cannot defeat his enemy should retreat. Retreat Strategies: Channel Surfing Spatial retreat 15
16 Channel Surfing Idea: If we are blocked at a particular channel, we can resume our communication by switching to a safe channel Inspired by frequency hopping techniques, but operates at the link layer in an on-demand fashion. Challenge Distributed computing Asynchrony, latency and scalability Jammer Jammer Node working in channel 1 Node working in channel 2 channel 1 channel 2 16
17 Channel Surfing Coordinated Channel Switching The entire network changes its channel to a new channel Spectral Multiplexing Jammed node switch channel Nodes on the boundary of a jammed region serve as relay nodes between different spectral zones Jammer Jammer Coordinated channel surfing Spectral Multiplexing Node working in channel 1 Node working in channel 2 Node working in both channel 1 & 2 channel 1 channel 2 17
18 Channel Surfing Coordinated Channel Switching The entire network changes its channel to a new channel Spectral Multiplexing Jammed node switch channel Nodes on the boundary of a jammed region serve as relay nodes between different spectral zones Jammer Jammer Coordinated channel surfing Spectral Multiplexing Node working in channel 1 Node working in channel 2 Node working in both channel 1 & 2 channel 1 channel 2 18
19 Spatial Retreat Targeted Networks Nodes in the network should have Mobility GPS or similar localization Idea: Nodes that are located within the jammed area move to safe regions. B A C X I E D H G F Escaping: Choose a random direction to evacuate from jammed area If no nodes are within its radio range, it moves along the boundary of the jammed area until it reconnects to the rest of the network. 19
20 Spatial Retreat Issues: A mobile adversary can move through the network The network can be partitioned After Escape Phase we need Reconstruction phase to repair the network Reconstruction phase Virtual force Model Forces only exist between neighboring sensors Forces are either repulsive or attractive Forces represent a need for sensors to move in order to improve system behavior virtual force is calculated based on its distance to all its neighboring sensors Direct its movement according to its force When all sensors stop moving, the spatial coverage of the whole network is maximized Borrowed from Ke Ma 20
21 Case Study : Spatial Retreats Borrowed from Ke Ma 21
22 Conclusion Due to the shared nature of the wireless medium, it is an easy feat for adversaries to perform a jamming-style denial of service against wireless networks We proposed to use consistency check based on PDR to detect jammers We have presented two different strategies to defend against the jamming style of DoS attacks Channel-surfing: changing the transmission frequency to a range where there is no interference from the adversary Spatial retreat: moving to a new location where there is no interference 22
Channel Surfing and Spatial Retreats: Defenses against Wireless Denial of Service
Channel Surfing and Spatial Retreats: Defenses against Wireless Denial of Service Wenyuan Xu, Timothy Wood, Wade Trappe, Yanyong Zhang WINLAB, Rutgers University IAB 2004 Roadmap Motivation and Introduction
More informationWireless Network Security Spring 2012
Wireless Network Security 14-814 Spring 2012 Patrick Tague Class #8 Interference and Jamming Announcements Homework #1 is due today Questions? Not everyone has signed up for a Survey These are required,
More informationWireless 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 informationWireless Network Security Spring 2016
Wireless Network Security Spring 2016 Patrick Tague Class #5 Jamming (cont'd); Physical Layer Security 2016 Patrick Tague 1 Class #5 Anti-jamming Physical layer security Secrecy using physical layer properties
More informationWireless Network Security Spring 2015
Wireless Network Security Spring 2015 Patrick Tague Class #5 Jamming, Physical Layer Security 2015 Patrick Tague 1 Class #5 Jamming attacks and defenses Secrecy using physical layer properties Authentication
More informationWireless Sensor Networks
DEEJAM: Defeating Energy-Efficient Jamming in IEEE 802.15.4-based Wireless Networks Anthony D. Wood, John A. Stankovic, Gang Zhou Department of Computer Science University of Virginia June 19, 2007 Wireless
More informationDEEJAM: Defeating Energy-Efficient Jamming in IEEE based Wireless Networks
DEEJAM: Defeating Energy-Efficient Jamming in IEEE 802.15.4-based Wireless Networks Anthony D. Wood, John A. Stankovic, Gang Zhou Department of Computer Science University of Virginia Wireless Sensor Networks
More informationLOCALIZATION AND ROUTING AGAINST JAMMERS IN WIRELESS NETWORKS
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 4, Issue. 5, May 2015, pg.955
More informationMultiple Receiver Strategies for Minimizing Packet Loss in Dense Sensor Networks
Multiple Receiver Strategies for Minimizing Packet Loss in Dense Sensor Networks Bernhard Firner Chenren Xu Yanyong Zhang Richard Howard Rutgers University, Winlab May 10, 2011 Bernhard Firner (Winlab)
More informationTRIESTE: A Trusted Radio Infrastructure for Enforcing SpecTrum Etiquettes
TRIESTE: A Trusted Radio Infrastructure for Enforcing SpecTrum Etiquettes Wade Trappe Rutgers, The State University of New Jersey www.winlab.rutgers.edu 1 Talk Overview Motivation TRIESTE overview Spectrum
More informationLightweight Decentralized Algorithm for Localizing Reactive Jammers in Wireless Sensor Network
International Journal Of Computational Engineering Research (ijceronline.com) Vol. 3 Issue. 3 Lightweight Decentralized Algorithm for Localizing Reactive Jammers in Wireless Sensor Network 1, Vinothkumar.G,
More informationDefending Wireless Sensor Networks from Radio Interference through Channel Adaptation
18 Defending Wireless Sensor Networks from Radio Interference through Channel Adaptation WENYUAN XU University of South Carolina and WADE TRAPPE and YANYONG ZHANG WINLAB, Rutgers University Radio interference,
More informationBadri Nath Dept. of Computer Science/WINLAB Rutgers University Jointly with Wade Trappe, Yanyong Zhang WINLAB IAB meeting November, 2004
Secure Localization Services Badri Nath Dept. of Computer Science/WINLAB Rutgers University Jointly with Wade Trappe, Yanyong Zhang WINLAB IAB meeting November, 24 badri@cs.rutgers.edu Importance of localization
More informationA Combined Approach for Distinguishing Different Types of Jamming Attacks Against Wireless Networks
A Combined Approach for Distinguishing Different Types of Jamming Attacks Against Wireless Networks Le Wang, Alexander M. Wyglinski Wireless Innovation Laboratory Department of Electrical and Computer
More informationUltra-Low Duty Cycle MAC with Scheduled Channel Polling
Ultra-Low Duty Cycle MAC with Scheduled Channel Polling Wei Ye and John Heidemann CS577 Brett Levasseur 12/3/2013 Outline Introduction Scheduled Channel Polling (SCP-MAC) Energy Performance Analysis Implementation
More informationUNDERSTANDING AND MITIGATING
UNDERSTANDING AND MITIGATING THE IMPACT OF RF INTERFERENCE ON 802.11 NETWORKS RAMAKRISHNA GUMMADI UCS DAVID WETHERALL INTEL RESEARCH BEN GREENSTEIN UNIVERSITY OF WASHINGTON SRINIVASAN SESHAN CMU 1 Presented
More informationSensor Network Platforms and Tools
Sensor Network Platforms and Tools 1 AN OVERVIEW OF SENSOR NODES AND THEIR COMPONENTS References 2 Sensor Node Architecture 3 1 Main components of a sensor node 4 A controller Communication device(s) Sensor(s)/actuator(s)
More informationFeasibility and Benefits of Passive RFID Wake-up Radios for Wireless Sensor Networks
Feasibility and Benefits of Passive RFID Wake-up Radios for Wireless Sensor Networks He Ba, Ilker Demirkol, and Wendi Heinzelman Department of Electrical and Computer Engineering University of Rochester
More informationEffect of Antenna Placement and Diversity on Vehicular Network Communications
Effect of Antenna Placement and Diversity on Vehicular Network Communications IAB, 3 rd Dec 2007 Sanjit Kaul {sanjit@winlab.rutgers.edu} Kishore Ramachandran {kishore@winlab.rutgers.edu} Pravin Shankar
More informationAS-MAC: An Asynchronous Scheduled MAC Protocol for Wireless Sensor Networks
AS-MAC: An Asynchronous Scheduled MAC Protocol for Wireless Sensor Networks By Beakcheol Jang, Jun Bum Lim, Mihail Sichitiu, NC State University 1 Presentation by Andrew Keating for CS577 Fall 2009 Outline
More informationWireless 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 informationJamming Attacks with its Various Techniques and AODV in Wireless Networks
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 11, Issue 4 Ver. II (Jul. Aug. 2016), PP 48-52 www.iosrjournals.org Jamming Attacks with its
More informationINTRODUCTION TO WIRELESS SENSOR NETWORKS. CHAPTER 3: RADIO COMMUNICATIONS Anna Förster
INTRODUCTION TO WIRELESS SENSOR NETWORKS CHAPTER 3: RADIO COMMUNICATIONS Anna Förster OVERVIEW 1. Radio Waves and Modulation/Demodulation 2. Properties of Wireless Communications 1. Interference and noise
More informationDEALING WITH JAMMING IN WIRELESS SENSOR NETWORK
DEALING WITH JAMMING IN WIRELESS SENSOR NETWORK Md. Shanawas Babu ID:-09221141 Md. Fahmidur Hossen ID:-09221103 Department of Computer Science and Engineering June 2005 BRAC University, Dhaka, Bangladesh
More informationFunneling-MAC: A Localized, Sink-Oriented MAC For Boosting Fidelity in Sensor Networks
Funneling-MAC: A Localized, Sink-Oriented MAC For Boosting Fidelity in Sensor Networks Gahng-Seop Ahn, Emiliano Miluzzo, Andrew T. Campbell Se Gi Hong, Francesca Cuomo EE Dept., Columbia University CS
More informationENERGY EFFICIENT SENSOR NODE DESIGN IN WIRELESS SENSOR NETWORKS
Available Online at www.ijcsmc.com International Journal of Computer Science and Mobile Computing A Monthly Journal of Computer Science and Information Technology IJCSMC, Vol. 3, Issue. 4, April 2014,
More informationOn Practical Selective Jamming of Bluetooth Low Energy Advertising
On Practical Selective Jamming of Bluetooth Low Energy Advertising S. Brauer, A. Zubow, S. Zehl, M. Roshandel, S. M. Sohi Technical University Berlin & Deutsche Telekom Labs Germany Outline Motivation,
More informationIN4181 Lecture 2. Ad-hoc and Sensor Networks. Koen Langendoen Muneeb Ali, Aline Baggio Gertjan Halkes
IN4181 Lecture 2 Ad-hoc and Sensor Networks Koen Langendoen Muneeb Ali, Aline Baggio Gertjan Halkes Outline: discuss impact of wireless Ad-hoc networks link layer: medium access control network layer:
More informationPJ6400: Mobile Collector in Defense against Jamming Attack Written by: Lu Cui Supervised by: Natalija Vlajic, Andrew Eckford
PJ6400: Mobile Collector in Defense against Jamming Attack Written by: Lu Cui Supervised by: Natalija Vlajic, Andrew Eckford Abstract: A jamming attack on a wireless network is an attack in which the adversary
More informationAutomotive Radar Sensors and Congested Radio Spectrum: An Urban Electronic Battlefield?
Automotive Radar Sensors and Congested Radio Spectrum: An Urban Electronic Battlefield? By Sefa Tanis Share on As automotive radars become more widespread, the heavily occupied RF spectrum will resemble
More informationWhite Space Security: Securing our Spectral Resources. (Aka: Its going to be hard to understand what s going on in order to secure spectrum )
White Space Security: Securing our Spectral Resources (Aka: Its going to be hard to understand what s going on in order to secure spectrum ) Wade Trappe Setting the Stage Currently, 90% of licensed spectrum
More informationPrevention of Selective Jamming Attack Using Cryptographic Packet Hiding Methods
Prevention of Selective Jamming Attack Using Cryptographic Packet Hiding Methods S.B.Gavali 1, A. K. Bongale 2 and A.B.Gavali 3 1 Department of Computer Engineering, Dr.D.Y.Patil College of Engineering,
More informationSpectrum Sensing Brief Overview of the Research at WINLAB
Spectrum Sensing Brief Overview of the Research at WINLAB P. Spasojevic IAB, December 2008 What to Sense? Occupancy. Measuring spectral, temporal, and spatial occupancy observation bandwidth and observation
More informationField Testing of Wireless Interactive Sensor Nodes
Field Testing of Wireless Interactive Sensor Nodes Judith Mitrani, Jan Goethals, Steven Glaser University of California, Berkeley Introduction/Purpose This report describes the University of California
More informationThe Pennsylvania State University The Graduate School COMPROMISE-RESILIENT ANTI-JAMMING COMMUNICATION IN WIRELESS SENSOR NETWORKS
The Pennsylvania State University The Graduate School COMPROMISE-RESILIENT ANTI-JAMMING COMMUNICATION IN WIRELESS SENSOR NETWORKS A Thesis in Computer Science and Engineering by Xuan Jiang c 2011 Xuan
More informationAvoid Impact of Jamming Using Multipath Routing Based on Wireless Mesh Networks
Avoid Impact of Jamming Using Multipath Routing Based on Wireless Mesh Networks M. KIRAN KUMAR 1, M. KANCHANA 2, I. SAPTHAMI 3, B. KRISHNA MURTHY 4 1, 2, M. Tech Student, 3 Asst. Prof 1, 4, Siddharth Institute
More informationReal-World Range Testing By Christopher Hofmeister August, 2011
Real-World Range Testing By Christopher Hofmeister August, 2011 Introduction Scope This paper outlines the procedure for a successful RF range test that provides quantitative data on how the RF link performs
More informationThe Impact of Channel Bonding on n Network Management
The Impact of Channel Bonding on 802.11n Network Management --- Lara Deek --- Eduard Garcia-Villegas Elizabeth Belding Sung-Ju Lee Kevin Almeroth UC Santa Barbara, UPC-Barcelona TECH, Hewlett-Packard Labs
More informationSimulation Based Analysis of Jamming Attack in OLSR, GRP, TORA. and Improvement with PCF in TORA using OPNET tool
Simulation Based Analysis of Jamming Attack in OLSR, GRP, TORA and Improvement with PCF in TORA using OPNET tool Anupam Sharma, Deepinderjeet Kaur Dhaliwal Desh Bhagat University Mandi Gobindgarh Punjab
More informationOn Denial of Service Attacks for Wireless Sensor Networks
On Denial of Service Attacks for Wireless Sensor Networks Nischay Bahl of Technology, Jalandhar, India Ajay K. Sharma of Technology, Jalandhar, India Harsh K. Verma of Technology, Jalandhar India ABSTRACT
More informationThe Armstrong Project Technical Report
The Armstrong Project Technical Report : A Localized, Sink-Oriented MAC For Boosting Fidelity in Sensor Networks Gahng-Seop Ahn, Emiliano Miluzzo, Andrew T. Campbell, Se Gi Hong, and Francesca Cuomo CU/EE/TAP-TR-26-8-3
More informationSyed Obaid Amin. Date: February 11 th, Networking Lab Kyung Hee University
Detecting Jamming Attacks in Ubiquitous Sensor Networks Networking Lab Kyung Hee University Date: February 11 th, 2008 Syed Obaid Amin obaid@networking.khu.ac.kr Contents Background Introduction USN (Ubiquitous
More informationFTSP Power Characterization
1. Introduction FTSP Power Characterization Chris Trezzo Tyler Netherland Over the last few decades, advancements in technology have allowed for small lowpowered devices that can accomplish a multitude
More informationVulnerability modelling of ad hoc routing protocols a comparison of OLSR and DSR
5 th Scandinavian Workshop on Wireless Ad-hoc Networks May 3-4, 2005 Vulnerability modelling of ad hoc routing protocols a comparison of OLSR and DSR Mikael Fredin - Ericsson Microwave Systems, Sweden
More informationZigBee-based Intra-car Wireless Sensor Network
This full text paper was peer reviewed at the direction of IEEE Communications Society subject matter experts for publication in the ICC 27 proceedings. ZigBee-based Intra-car Wireless Sensor Network Hsin-Mu
More informationMitigating Inside Jammers in Manet Using Localized Detection Scheme
International Journal of Engineering Science Invention ISSN (Online): 2319 6734, ISSN (Print): 2319 6726 Volume 2 Issue 7ǁ July 2013 ǁ PP.13-19 Mitigating Inside Jammers in Manet Using Localized Detection
More informationExercise Data Networks
(due till January 19, 2009) Exercise 9.1: IEEE 802.11 (WLAN) a) In which mode of operation is this network in? b) Why is the start of the back-off timers delayed until the DIFS contention phase? c) How
More informationIntelligent Adaptation And Cognitive Networking
Intelligent Adaptation And Cognitive Networking Kevin Langley MAE 298 5/14/2009 Media Wired o Can react to local conditions near speed of light o Generally reactive systems rather than predictive work
More informationError Minimizing Jammer Localization Through Smart Estimation of Ambient Noise
Error Minimizing Jammer Localization Through Smart Estimation of Ambient Noise Zhenhua liu, Hongbo Liu, Wenyuan Xu and Yingying Chen Dept. of Computer Science and Engineering, University of South Carolina,
More informationUsing Channel Hopping to Increase Resilience to Jamming Attacks
Using Channel Hopping to Increase 82.11 Resilience to Jamming Attacks Vishnu Navda, Aniruddha Bohra, Samrat Ganguly NEC Laboratories America {vnavda,bohra,samrat}@nec-labs.com Dan Rubenstein Columbia University
More informationReliable Videos Broadcast with Network Coding and Coordinated Multiple Access Points
Reliable Videos Broadcast with Network Coding and Coordinated Multiple Access Points Pouya Ostovari and Jie Wu Computer & Information Sciences Temple University Center for Networked Computing http://www.cnc.temple.edu
More informationAll Beamforming Solutions Are Not Equal
White Paper All Beamforming Solutions Are Not Equal Executive Summary This white paper compares and contrasts the two major implementations of beamforming found in the market today: Switched array beamforming
More informationData Dissemination in Wireless Sensor Networks
Data Dissemination in Wireless Sensor Networks Philip Levis UC Berkeley Intel Research Berkeley Neil Patel UC Berkeley David Culler UC Berkeley Scott Shenker UC Berkeley ICSI Sensor Networks Sensor networks
More informationWi-Fi. Wireless Fidelity. Spread Spectrum CSMA. Ad-hoc Networks. Engr. Mian Shahzad Iqbal Lecturer Department of Telecommunication Engineering
Wi-Fi Wireless Fidelity Spread Spectrum CSMA Ad-hoc Networks Engr. Mian Shahzad Iqbal Lecturer Department of Telecommunication Engineering Outline for Today We learned how to setup a WiFi network. This
More informationDDRS algorithm over DoS Attack in Wireless Communication Due to Jammers Prof. Bhaumik Machhi 1
Impact Factor (SJIF): 3.632 International Journal of Advance Research in Engineering, Science & Technology e-issn: 2393-9877, p-issn: 2394-2444 (Special Issue for ITECE 2016) DDRS algorithm over DoS Attack
More informationApplication Note AN041
CC24 Coexistence By G. E. Jonsrud 1 KEYWORDS CC24 Coexistence ZigBee Bluetooth IEEE 82.15.4 IEEE 82.11b WLAN 2 INTRODUCTION This application note describes the coexistence performance of the CC24 2.4 GHz
More informationWireless Communication
Wireless Communication Systems @CS.NCTU Lecture 14: Full-Duplex Communications Instructor: Kate Ching-Ju Lin ( 林靖茹 ) 1 Outline What s full-duplex Self-Interference Cancellation Full-duplex and Half-duplex
More informationInternet of Things Prof. M. Cesana. Exam June 26, Family Name Given Name Student ID 3030 Course of studies 3030 Total Available time: 2 hours
Internet of Things Prof. M. Cesana Exam June 26, 2011 Family Name Given Name John Doe Student ID 3030 Course of studies 3030 Total Available time: 2 hours E1 E2 E3 Questions Questions OS 1 Exercise (8
More informationKeeping Your Eyes Peeled: Sensing-Driven Feedback- Computing for Network Security
Keeping Your Eyes Peeled: Sensing-Driven Feedback- Computing for Network Security Bruce DeBruhl PhD Candidate, ECE Wireless Network & System Security Group Carnegie Mellon University November 14, 2014
More informationEnergy-Efficient Data Management for Sensor Networks
Energy-Efficient Data Management for Sensor Networks Al Demers, Cornell University ademers@cs.cornell.edu Johannes Gehrke, Cornell University Rajmohan Rajaraman, Northeastern University Niki Trigoni, Cornell
More informationMohammed Ghowse.M.E 1, Mr. E.S.K.Vijay Anand 2
AN ATTEMPT TO FIND A SOLUTION FOR DESTRUCTING JAMMING PROBLEMS USING GAME THERORITIC ANALYSIS Abstract Mohammed Ghowse.M.E 1, Mr. E.S.K.Vijay Anand 2 1 P. G Scholar, E-mail: ghowsegk2326@gmail.com 2 Assistant
More informationLocation Estimation in Ad-Hoc Networks with Directional Antennas
Location Estimation in Ad-Hoc Networks with Directional Antennas Nipoon Malhotra, Mark Krasniewski, Chin-Lung Yang, Saurabh Bagchi, William Chappell School of Electrical and Computer Engineering Purdue
More informationAgenda. A short overview of the CITI lab. Wireless Sensor Networks : Key applications & constraints. Energy consumption and network lifetime
CITI Wireless Sensor Networks in a Nutshell Séminaire Internet du Futur, ASPROM Paris, 24 octobre 2012 Prof. Fabrice Valois, Université de Lyon, INSA-Lyon, INRIA fabrice.valois@insa-lyon.fr 1 Agenda A
More informationLiterature Survey on Jamming Attack in Wireless Adhoc Network
Literature Survey on Jamming Attack in Wireless Adhoc Network Pinal Rupani Computer Engineering Department V.V.P. Engineering College, Rajkot Gujarat, India Prof. Naren Tada Computer Engineering Department
More informationLecture on Sensor Networks
Lecture on Sensor Networks Copyright (c) 2008 Dr. Thomas Haenselmann (University of Mannheim, Germany). Permission is granted to copy, distribute and/or modify this document under the terms of the GNU
More informationComputer Networks II Advanced Features (T )
Computer Networks II Advanced Features (T-110.5111) Wireless Sensor Networks, PhD Postdoctoral Researcher DCS Research Group For classroom use only, no unauthorized distribution Wireless sensor networks:
More informationSimulation Blocks for TOSSIM-T2
Simulation Blocks for TOSSIM-T2 Prabhakar T V, Venkatesh S, Sujay M S, Joy Kuri, Praveen Kumar Centre for Electronics Design and Technology, Indian Institute of Science, Bangalore, India (tvprabs, svenkat,
More informationDetection and Prevention of Physical Jamming Attacks in Vehicular Environment
Detection and Prevention of Physical Jamming Attacks in Vehicular Environment M-Tech Student 1 Mahendri 1, Neha Sawal 2 Assit. Prof. 2 &Department of CSE & NGF College of Engineering &Technology Palwal,
More informationBook Title: XXXXXXXXXXXXXXXXXXXXXXXXXX. Editors
Book Title: XXXXXXXXXXXXXXXXXXXXXXXXXX Editors March 24, 2008 ii Contents 1 Jamming in Wireless Sensor Networks 1 1.1 Introduction.................................... 2 1.2 Communication in WSNs.............................
More informationZigBee Propagation Testing
ZigBee Propagation Testing EDF Energy Ember December 3 rd 2010 Contents 1. Introduction... 3 1.1 Purpose... 3 2. Test Plan... 4 2.1 Location... 4 2.2 Test Point Selection... 4 2.3 Equipment... 5 3 Results...
More informationWireless Broadband Solutions for Autonomous Ground Vehicles
Wireless Broadband Solutions for Autonomous Ground Vehicles State-of-the-art wireless MIMO for Command and Control + long range video streaming 2019 Doodle Labs. All rights reserved. 1 Wireless Communication
More informationolsr.org 'Optimized Link State Routing' and beyond December 28th, 2005 Elektra
olsr.org 'Optimized Link State Routing' and beyond December 28th, 2005 Elektra www.scii.nl/~elektra Introduction Olsr.org is aiming to an efficient opensource routing solution for wireless networks Work
More informationSecret Key Extraction in MIMO like Sensor Networks Using Wireless Signal Strength
Secret Key Extraction in MIMO like Sensor Networks Using Wireless Signal Strength Sriram Nandha Premnath Academic Advisors: Sneha K. Kasera, Neal Patwari nandha@cs.utah.edu, kasera@cs.utah.edu, npatwari@ece.utah.edu
More informationMitigation of Periodic Jamming in a Spread Spectrum System by Adaptive Filter Selection
Mitigation of Periodic Jamming in a Spread Spectrum System by Adaptive Filter Selection Bruce DeBruhl and Patrick Tague Carnegie Mellon University { debruhl, tague} @cmu.edu Keywords: Abstract: Adaptive
More informationZippy: On-Demand Network Flooding
Zippy: On-Demand etwork Flooding Felix utton, Bernhard Buchli, Jan Beutel, and Lothar Thiele enys 2015, eoul, outh Korea, 1 st 4 th ovember 2015 enys 2015 Problem tatement Energy-efficient wireless dissemination
More informationPolitecnico di Milano Advanced Network Technologies Laboratory. Beyond Standard MAC Sublayer
Politecnico di Milano Advanced Network Technologies Laboratory Beyond Standard 802.15.4 MAC Sublayer MAC Design Approaches o Conten&on based n Allow collisions n O2en CSMA based (SMAC, STEM, Z- MAC, GeRaF,
More informationMultiple Access Schemes
Multiple Access Schemes Dr Yousef Dama Faculty of Engineering and Information Technology An-Najah National University 2016-2017 Why Multiple access schemes Multiple access schemes are used to allow many
More informationBy Ryan Winfield Woodings and Mark Gerrior, Cypress Semiconductor
Avoiding Interference in the 2.4-GHz ISM Band Designers can create frequency-agile 2.4 GHz designs using procedures provided by standards bodies or by building their own protocol. By Ryan Winfield Woodings
More informationWOLF - Wireless robust Link for urban Forces operations
Executive summary - rev B - 01/05/2011 WOLF - Wireless robust Link for urban Forces operations The WOLF project, funded under the 2nd call for proposals of Joint Investment Program on Force Protection
More informationStudy of RSS-based Localisation Methods in Wireless Sensor Networks
Study of RSS-based Localisation Methods in Wireless Sensor Networks De Cauwer, Peter; Van Overtveldt, Tim; Doggen, Jeroen; Van der Schueren, Filip; Weyn, Maarten; Bracke, Jerry Jeroen Doggen jeroen.doggen@artesis.be
More informationPlanning of LTE Radio Networks in WinProp
Planning of LTE Radio Networks in WinProp AWE Communications GmbH Otto-Lilienthal-Str. 36 D-71034 Böblingen mail@awe-communications.com Issue Date Changes V1.0 Nov. 2010 First version of document V2.0
More informationWIRELESS NETWORK USER MANUAL MHz RFT-868-REL Remotely Controlled Relay Switch
WIRELESS NETWORK USER MANUAL 868.3 MHz Remotely Controlled Relay Switch Device Specifications Max Switching Voltage: 250 VAC Max Switching Current: 10 A Max Switching Power: 2500 VA Power Draw in standby
More informationSCPL: Indoor Device-Free Multi-Subject Counting and Localization Using Radio Signal Strength
SCPL: Indoor Device-Free Multi-Subject Counting and Localization Using Radio Signal Strength Rutgers University Chenren Xu Joint work with Bernhard Firner, Robert S. Moore, Yanyong Zhang Wade Trappe, Richard
More informationWormhole-Based Anti-Jamming Techniques in Sensor. Networks
Wormhole-Based Anti-Jamming Techniques in Sensor Networks Mario Čagalj Srdjan Čapkun Jean-Pierre Hubaux Laboratory for Computer Communications and Applications (LCA) Faculty of Informatics and Communication
More informationA Performance Comparison of Multi-Hop Wireless Ad Hoc Network Routing Protocols
A Performance Comparison of Multi-Hop Wireless Ad Hoc Network Routing Protocols Josh Broch, David Maltz, David Johnson, Yih-Chun Hu and Jorjeta Jetcheva Computer Science Department Carnegie Mellon University
More informationVC7300-Series Product Brief
VC7300-Series Product Brief Version: 1.0 Release Date: Jan 16, 2019 Specifications are subject to change without notice. 2018 Vertexcom Technologies, Inc. This document contains information that is proprietary
More informationFree space loss: transmitting antenna: signal power P snd receiving antenna: signal power P rcv distance: d frequency: f.
Signal Propagation and Power Free space loss: transmitting antenna: signal power P snd receiving antenna: signal power P rcv distance: d frequency: f P rcv P snd 1 d 2 f 2 quadratic decrease in distance
More informationTRANSMIT ONLY FOR DENSE WIRELESS NETWORKS
TRANSMIT ONLY FOR DENSE WIRELESS NETWORKS by BERNHARD FIRNER A dissertation submitted to the Graduate School New Brunswick Rutgers, The State University of New Jersey in partial fulfillment of the requirements
More informationOptimal Clock Synchronization in Networks. Christoph Lenzen Philipp Sommer Roger Wattenhofer
Optimal Clock Synchronization in Networks Christoph Lenzen Philipp Sommer Roger Wattenhofer Time in Sensor Networks Synchronized clocks are essential for many applications: Sensing TDMA Localization Duty-
More informationFPGA-BASED DESIGN AND IMPLEMENTATION OF THREE-PRIORITY PERSISTENT CSMA PROTOCOL
U.P.B. Sci. Bull., Series C, Vol. 79, Iss. 4, 2017 ISSN 2286-3540 FPGA-BASED DESIGN AND IMPLEMENTATION OF THREE-PRIORITY PERSISTENT CSMA PROTOCOL Xu ZHI 1, Ding HONGWEI 2, Liu LONGJUN 3, Bao LIYONG 4,
More informationUWB for Sensor Networks:
IEEE-UBC Symposium on future wireless systems March 10 th 2006, Vancouver UWB for Sensor Networks: The 15.4a standard Andreas F. Molisch Mitsubishi Electric Research Labs, and also at Department of Electroscience,
More informationUnderstanding and Mitigating the Impact of Interference on Networks. By Gulzar Ahmad Sanjay Bhatt Morteza Kheirkhah Adam Kral Jannik Sundø
Understanding and Mitigating the Impact of Interference on 802.11 Networks By Gulzar Ahmad Sanjay Bhatt Morteza Kheirkhah Adam Kral Jannik Sundø 1 Outline Background Contributions 1. Quantification & Classification
More informationA Novel Error Minimizing Framework Better Location Estimation in Wireless Networks
A Novel Error Minimizing Framework Better Location Estimation in Wireless Networks Mooda Yakanna M.Tech Student, Mr.Syed Mazharuddin Assistant Professor, Mrs. M.Jhansi Lakshmi Associate professor & HOD,
More informationWisperNet: Anti-Jamming for Wireless Sensor Networks
University of Pennsylvania ScholarlyCommons Real-Time and Embedded Systems Lab (mlab) School of Engineering and Applied Science --28 WisperNet: Anti-Jamming for Wireless Sensor Networks Miroslav Pajic
More informationLong Term Evolution (LTE) and 5th Generation Mobile Networks (5G) CS-539 Mobile Networks and Computing
Long Term Evolution (LTE) and 5th Generation Mobile Networks (5G) Long Term Evolution (LTE) What is LTE? LTE is the next generation of Mobile broadband technology Data Rates up to 100Mbps Next level of
More informationAIR FORCE INSTITUTE OF TECHNOLOGY
The Effects of Cognitive Jamming on Wireless Sensor Networks used for Geolocation THESIS Michael A. Huffman, Captain, USAF AFIT/GE/ENG/12-21 DEPARTMENT OF THE AIR FORCE AIR UNIVERSITY AIR FORCE INSTITUTE
More informationIFH SS CDMA Implantation. 6.0 Introduction
6.0 Introduction Wireless personal communication systems enable geographically dispersed users to exchange information using a portable terminal, such as a handheld transceiver. Often, the system engineer
More informationMIMO-Assisted Channel-Based Authentication in Wireless Networks
1 -Assisted Channel-Based Authentication in Wireless Networks Liang Xiao, Larry Greenstein, Narayan Mandayam, Wade Trappe Wireless Information Network Laboratory (WINLAB), Rutgers University 671 Rt. 1
More informationImpact of Radio Irregularity on Wireless Sensor Networks
Impact of Radio Irregularity on Wireless Sensor Networks Gang Zhou, Tian He, Sudha Krishnamurthy, John A. Stankovic Department of Computer Science University of Virginia, Charlottesville, VA 2293 {gz5d,
More informationDenial of Service Attacks in Wireless Networks: The case of Jammers
Denial of Service Attacks in Wireless Networks: The case of Jammers Konstantinos Pelechrinis and Marios Iliofotou Department of Computer Science and Engineering UC Riverside, Riverside CA 92521 {kpele,marios}@cs.ucr.edu
More information