Jungsub Ahn and Taeho Cho
Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon,
Republic of Korea
ABSTRACT
Today, wireless sensor networks (WSNs) are applied to various industries such as building automation,
medical, security, intelligent agriculture, and disaster monitoring. A WSN consists of hundreds to
thousands of tiny sensor nodes that perform monitoring tasks. A small sensor node has a limited amount of
internal memory and energy resources. Sensor nodes are used to detect a variety of data in specific
environmental areas. As a result, WSN should be energy efficient. Sensor nodes are vulnerable to false
report injection attacks because they are deployed in an open environment. A false report injection attack
consumes the limited energy of a node more quickly and confuses the user. CFFS has been proposed to
prevent such an attack using a method of en-route filtering false reports by dividing nodes into clusters.
However, the CFFS scheme is vulnerable for repeated false report injection attacks. In this paper, we
propose an approach to prolong the WSN lifetime by adjusting the dynamic security threshold value and
using a fuzzy logic-based key redistribution selection of cluster head nodes. The proposed method increases
the detection rate for repeated false report injection attacks by adding the additional key distribution phase
in the existing method. The experimental results show that the energy efficiency of the proposed method
was increased by 40.278%.
KEYWORDS
False Report Injection Attack, Cluster-based False Data Filtering, Network Lifetime Extension, FuzzyLogic System.
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