An Approach of Anti-Eavesdropping Linear Network Coding in Wireless Network
Zuoting Ning, Dafang Zhang, Kun Xie · 2016
The existing anti-eavesdropping researches on wireless network coding are mainly based on the assumption that the eavesdroppers can only monitor limited channels and don't cooperate with each other. But in real settings, the eavesdroppers share overheard information, which makes data leakage come true. Moreover, these approaches just encrypt or permutate the coding coefficients to prevent the adversaries from understanding the transmission data, they can't resist pollution attacks, such as forgery and tamper attacks. In this case, we propose a novel secure linear network coding scheme that is based on IBC(Identity-Based Cryptography) algorithm and has the characteristic of preventing eavesdropping and pollution attacks. Theoretical analysis and experiment demonstrate that our scheme guarantees the data security for each node, which significantly prevents the nodes from being eavesdropped and resists pollution attacks. Furthermore, our scheme enriches the approaches of anti-eavesdropping research in wireless network coding.