An Enhanced Source Location Privacy Protection Scheme for WSNS Using Multi-Phantom Differential Delay

Abstract

The Wireless Sensor Networks (WSNs) have been used in real time monitoring and data transmission in areas like surveillance, environmental monitoring and smart infrastructures and have become imperative in the industry. Nevertheless, the adversaries can easily track data packets to uncover the source node of an origin node because of their open communication lines and decentralized structure, making WSN highly susceptible to source location privacy attacks. To solve this critical problem, this study presents a new multi-layered privacy protection system that consists of four smart processes, including: Hybrid Energy Trust Node Estimation (HETNE) to select stable and trustworthy nodes using residual energy and behavioral reliability, Adaptive Fuzzy Privacy Clustering (AFPC) to create dynamic and privacy conscious clusters that consume minimum energy, Quantum Encryption Assisted Path Selection (QEAPS) to construct quantum secure and tamper free routing paths, and Multi-Phantom Differentiated Delay (MPDD) to create a series Combination of these techniques boosts anonymity, energy economy as well as routing security and greatly minimizes the probability of disclosure of source. Experimental analysis the given framework attains the best performance in energy consumption, a packet delivery ratio, network lifetime, safety period, and the range of privacy protection in comparison with the traditional approaches, which offer robust and privacy-sensitive communications in WSNs.