FBCFFS Based Authentication Method for Node Privacy Message in WSN

Abstract

In wireless sensor networks (WSNs), the design of the energy management of the nodes and report security are important. In particular, many studies have focused on maintaining report in applications where an Internet of Things (IoT) system is connected with a WSN, with the IoT actuator operated based on measured data of WSNs. A Fuzzy-based Cluster-based False Data Filtering Scheme (FBCFFS), which can dynamically adjust security in a vulnerable network situation, maintains security using the cluster state information of the network. This scheme uses fuzzy logic, a type of rule-based expert system. The fuzzy logic system of the FBCFFS determines security strength based on network monitoring information. However, previous work with the FBCFFS has not addressed the security of the cluster information. Thus, there exists risk of data transformation at the middle transmission step in the previous approach. In addition, the node periodically transmits state information to the base station, which is inefficient in terms of network lifetime management. In this paper, we provide a method to secure the state information message and to reduce the communication cost by controlling the number of messages.