PROJECT TITLE :
Pollution Attacks and Defenses in Wireless Interflow Network Coding Systems
We have a tendency to study knowledge pollution attacks in wireless interflow network coding systems. Although several defenses for these attacks are known for intraflow network coding systems, none of them are applicable to interflow coding systems. We have a tendency to formulate a model for interflow network coding that encompasses all the prevailing systems, and use it to research the impact of pollution attacks. Our analysis shows that the effects of pollution attacks rely not solely on the network topology, however conjointly on the location and strategy of the attacker nodes. We have a tendency to propose CodeGuard, a reactive attestation-based defense mechanism that uses economical bit-level traceback and a novel cross-examination technique to unequivocally establish attacker nodes. We tend to analyze the protection of CodeGuard and prove that it is forever able to identify and isolate a minimum of one attacker node on each incidence of a pollution attack. We tend to analyze the overhead of CodeGuard and show that the storage, computation, and communication overhead are practical. We have a tendency to experimentally demonstrate that CodeGuard is able to identify attacker nodes quickly (inside five hundred ms) and restore system throughput to a high level, even in the presence of the many attackers, thus preserving the performance of the underlying network coding system.
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