Gradient-based routing in sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Practical defenses against pollution attacks in intra-flow network coding for wireless mesh networks
Proceedings of the second ACM conference on Wireless network security
International Journal of Information and Coding Theory
Signing a Linear Subspace: Signature Schemes for Network Coding
Irvine Proceedings of the 12th International Conference on Practice and Theory in Public Key Cryptography: PKC '09
Homomorphic MACs: MAC-Based Integrity for Network Coding
ACNS '09 Proceedings of the 7th International Conference on Applied Cryptography and Network Security
Secure network coding for wireless mesh networks: Threats, challenges, and directions
Computer Communications
Network Coding: An Introduction
Network Coding: An Introduction
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
A Random Linear Network Coding Approach to Multicast
IEEE Transactions on Information Theory
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Packet pollution attack is considered as the most threatening attack model against network coding-based sensor networks. A widely held belief says that, in a single source multi-destination dissemination scenario, the total number of polluted packets in the network will grow with the length of the transmission path and the decoding failure DF rate at the further destination nodes are relatively lower. In this work, we first obtain an opposite result by analysing the pollution attack in multicast scenarios, and find out a convergence trend of pollution attack by network coding system, and quantify the network resiliency against the pollution attacks which happen at any place along the source-destination paths. Then, the analysis result is proved by our simulations on two most widely deployed buffer strategies, Random-In Random-Out RIRO and First-in First-Out FIFO. Finally, it is proved that RIRO has a much advanced security feature than FIFO in constraining the pollution attack gradually, and almost vanished in the end.