A Privacy Protection Strategy in Unguided Sensor Networks

Abstract

Computing and communication have advanced dramatically as a result of recent developments in 
wireless sensor networks (WSNs). Security has not yet received the same priority to match these 
changes. In this study, we concentrate on the WSNs' source location secrecy problem, a current 
security development area, and provide a privacy and security technique in WSNs. This approach 
considers more powerful opponents who can evaluate the situation at the origin using a hidden Markov 
model. To deal with this sort of opponent, fake sources and phantom nodes are used to divert the 
transmission path by mimicking the actions of the origin. To choose the candidate for the next step, 
each access point's weight is employed as criteria. Moreover, transmitter and receiver modes are 
intended to send original packets. According to the computation results, the suggested privacy 
protection strategy increases safety while using less energy.