A Secure Clustering Protocol with Fuzzy Trust Evaluation and Outlier Detection for Industrial Wireless Sensor Networks

Security is one of the major concerns in Industrial Wireless Sensor Networks (IWSNs). To assure security clustered IWSNs, this paper presents a secure clustering protocol with fuzzy trust evaluation and outlier detection (SCFTO). Firstly, to deal transmission uncertainty an open wireless medium, interval type-2 logic controller adopted estimate trusts. And then density based mechanism introduced acquire adaptive threshold used isolate malicious nodes from being cluster heads. Finally, heads election method proposed achieve balance between energy saving assurance, so that normal sensor node more residual or less confidence on other has higher probability be head. Extensive experiments verify our can effectively defend network against attacks internal compromised nodes.