Ensuring privacy preservation in wireless networks against traffic analysis by employing network coding and Blowfish encryption

Open air transmission is imperative asset of Multi-hop wireless network; which enables malicious attackers to do attacks such as traffic analysis. This motivates enormous need of securing privacy of MWN. The necessity of privacy issue pioneers concept of network coding. To avert traffic analysis attacks it has to be implemented which integrates coding and mixing operation at in-between nodes. Simple use of network coding is not enough to resolve privacy threat in MWN. This paper proposes random network coding scheme along with Blowfish encryption algorithm to achieve source anonymity and message data concealment. To effectively prohibit traffic analysis attacks, this algorithm enhances features of homomorphic encryption such as Paillier encryption used in existing system. This proposed system offers the feature of random coding. Property of inverting GEVs with a very high probability is used by each sink to recover the source packets. The strength and efficiency of the proposed system is evident through theoretic exploration and simulative data assessment.