Development of probabilistic based evolutionary fuzzy system for trusted routing in smart grid communication network

Abstract

Smart Grid Communication Network SGCN is highly interconnected with various wired and wireless communication devices for effective real time monitoring and delivery of information about the status of the power infrastructure Owing to the openness SGCN is vulnerable to several security attacks during data transmission These vulnerabilities make the network unavailable for data transmission that becomes a significant issue in SGCN and results in the poor monitoring of power infrastructures Adequate security measures are essential to improve network availability and reliable data delivery in the network for resilience operation of smart grid This research explores the suitability of theory of uncertainty to alleviate the malicious attacks between the data aggregation points in the SGCN A novel idea based on Probability theory Bayesian theory combined with Dempster Shafer theory are proposed for calculating trust value of a node The probability theory approach calculates direct indirect integrated and overall trust based on packet forwarding ratio of every node in the network In each stage suitable mathematical equations are proposed to measure the trust of each node that tries to eliminate misbehaving nodes launching malicious attacks like packet dropping on off and misbehaving attacks The concept of the fuzzy set theory is integrated with probability theory that routes the data packet through the trusted channel for trusted routing The network parameters like hop count reliability and capacity of the link are considered for constructing if then rules and membership function in an intuitive manner newline