Secure Two-Party Distance Computation Protocol Based on Privacy Homomorphism and Scalar Product in Wireless Sensor Networks

Numerous privacy-preserving issues have emerged along with the fast development of the Internet of Things. In addressing privacy protection problems in Wireless Sensor Networks （WSN）, secure multi-party computation is considered vital, where obtaining the Euclidian distance between two nodes with no disclosure of either side＇s secrets has become the focus of location-privacy-related applications. This paper proposes a novel Privacy-Preserving Scalar Product Protocol （PPSPP） for wireless sensor networks. Based on PPSPP, we then propose a Homomorphic-Encryption-based Euclidean Distance Protocol （HEEDP） without third parties. This protocol can achieve secure distance computation between two sensor nodes. Correctness proofs of PPSPP and HEEDP are provided, followed by security validation and analysis. Performance evaluations via comparisons among similar protocols demonstrate that HEEDP is superior; it is most efficient in terms of both communication and computation on a wide range of data types, especially in wireless sensor networks.

A Power Efficient Aggregation of Encrypted Data in Wireless Sensor Network

In-network data aggregation in wireless sensor network has been shown to improve scalability, prolong sensor network lifetimes and diminish computational demands. However, the node that plays the role of data aggregation will consume much more energy than common nodes and may quit the mission in advance due to energy exhausting because of taxing decryption and re-encryption operation; moreover, it will bring complex key management to ensure the security of the data and corresponding keys. This paper was designed specifically to address above problem based on the thought of privacy homomorphism, It can achieve the perfect security level equal to one-time pad with much lower energy consumption; moreover, it can be proved to resist the attack of node capture. Using the simulation and analysis, we show that our scheme consume the energy only about 21% of AED scheme.

Analysis and Enhancement of a Watermarking Protocol Suitable for Web Context

<Abstract>A buyer-seller watermarking protocol is a combination of traditional watermarking and fingerprinting techniques. Recently, Frattolillo proposed such a watermarking protocol suitable for web context. Frattolillo’s scheme has two problems which would make it hard to implement practically. Several possible solutions to the two problems are presented in this paper.