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Anonymity in Wireless Networks Under Traffic Analysis Attacks

This paper explores the challenges of maintaining anonymity in wireless networks amidst traffic analysis attacks. It discusses key concepts such as authentication, data confidentiality, and session anonymity. By analyzing unicast and multicast sessions, the study examines scheduling mechanisms and dummy transmissions as strategies for enhancing security. The design objectives include scalability, maximizing throughput, and minimizing energy consumption. The findings highlight the trade-offs between anonymity costs and network performance, providing insights into future research directions.

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Anonymity in Wireless Networks Under Traffic Analysis Attacks

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  1. Hugo Moreira de Sousa Pinto Professor Daniel Lucani Professor João Barros Anonymityin Wireless Networks UnderTrafficAnalysisAttacks

  2. SecurityinCommunications • Authentication • Access Control • Data Confidentiality • Data Integrity • Non Repudiation • Wireless Networks • Sessionanonymity • Dummytransmissions • Schedulingmechanisms • Measures to deter violationsthatinvolvethetransmissionofinformation • Anonymity – hidingthepartiesinvolvedin a communication Anonymity in Wireless Networks Under Traffic Analysis Attacks

  3. ProblemSetup A1 A2 A3 Wireless Line network A1 A2 A1 <-> A2 A1 A2 A3 A1 -> {A2,A3} Anonymity in Wireless Networks Under Traffic Analysis Attacks • Typesofsessions • UnicastSessions: • e.g.VoIPconversation • MulticastSessions: • e.g. Sharing a picture

  4. Scheduling – 3 nodeline network • Pattern 1 • Pattern 2 NotAnonymous Anonymous Anonymity in Wireless Networks Under Traffic Analysis Attacks

  5. Design Objectives • Scalable to longer networks • Maximize throughput • Minimize energy • Possibilityofsimultaneoustransmissions A1 A2 A3 A4 A5 A6 Providesessionanonymity Anonymity in Wireless Networks Under Traffic Analysis Attacks

  6. Costofanonymity K=3 • Unicast sessions: A1 A2 A3 A4 A5 • For k>=5 wehavefreeanonymityintermsofthroughput Anonymity in Wireless Networks Under Traffic Analysis Attacks

  7. Conclusionsand future work • Sessionanonymity • No costinthroughput • Highcostinenergyifthe network sizeis too long • Use oftransmissionmechanismssuch as network coding • Doublethroughput • Reduceenergyconsumptionbyhalf • Studytrade-offsbetweenanonymityandcost • Lookintodifferent network topologies Anonymity in Wireless Networks Under Traffic Analysis Attacks

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