ABSTRACT
This chapter describes the considered system model and common privacy model. It discusses the different algorithms and state-of-the-art proposals in Wireless Sensor Networks (WSN) privacy, which includes contextual privacy, privacy preserving data mining, secure multiparty computation, differential privacy, and anonymous authentication. The collaborative and distributive nature of WSN makes trust management a challenging task. Trust can be defined as the shelter when an entity faces uncertainty and risk. It is a challenging task to protect personally identifiable information while sharing information in a distributed system like WSN. With the immergence of sophisticated data mining tools based on statistical and semantic analysis, data privacy against data mining is becoming an interesting research area. In a large sample of sensor database, almost any combination of continuous scaled variable has unique property or is more specifically unique in nature. In data generalization method, sensitive data or quasi-identifiers are mapped to another domain, which enables statistical disclosure control.
