Privacy Preserving and Secure Data Retrieval in Sensor Network using Homomorphic Encryption Algorithm

The Cipher text-policy Attribute Based Encryption for secure data retrieval in decentralized Disruption Tolerant Networks (DTNs) where multiple key authorities manage their attributes independently. Immediate attribute revocation enhances backward/forward secrecy of confidential data by reducing the windows of vulnerability. Key escrow problem is resolved by an escrow-free key issuing protocol that exploits the characteristic of the decentralized Disruption Tolerant Networks architecture proposed a decentralized approach; their technique does not authenticate users. Demonstrate how to apply the proposed mechanism to securely and efficiently manage the confidential data distributed in the disruption-tolerant military network. Finally the Disruption-tolerant network (DTN) technologies are becoming successful solutions that allow wireless devices carried by soldiers to communicate with each other and access the confidential information or command reliably by exploiting external storage nodes. We propose an efficient system for preventing location leaks in Sensor Networks and also it ensures the privacy-preserving scheme against traffic analysis and flow tracing. With the faster homomorphic encryption algorithm technique, the proposed scheme offers two significant privacy preserving features, packet flow untraceability and message content confidentiality, which can efficiently thwart traffic analysis/flow tracing attacks. Moreover, with homomorphic encryption, the proposed scheme keeps the essence of random linear network coding, and each sink can recover the source messages by inverting with a very high probability. Our Proposed system works efficiently when compared to previously