Open AccessA Method of Improving Energy Efficiency Through Geofencing and False Data Blocking In Context-Aware Architecture for Probabilistic Voting-Based Filtering Scheme of WSNs
Author(s) -
Su Man Nam,
Youn Kyoung Seo
Publication year - 2021
Publication title -
international journal of computer networks and communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.159
H-Index - 8
eISSN - 0975-2293
pISSN - 0974-9322
DOI - 10.5121/ijcnc.2021.13306
Subject(s) - computer science , wireless sensor network , context (archaeology) , probabilistic logic , blocking (statistics) , exploit , computer network , energy (signal processing) , computer security , artificial intelligence , paleontology , statistics , mathematics , biology
In wireless sensor networks, sensor nodes have the disadvantage of being vulnerable to several attacks due to the use of wireless communication and constrained energy. Adversaries exploit vulnerable characteristics of these nodes to capture them and generate false positive and false negative attacks. These attacks result in false alarms in a base station and information loss in intermediate nodes. A context-aware architecture for a probabilistic voting-based filtering scheme (CAA-PVFS) identifies compromised nodes that cause the damage. Although this method immediately detects the compromised nodes using its CAA, its additional network use consumes unnecessary energy. In this paper, our proposed method configures geofencing for the compromised nodes and blocks the nodes using false data injection. The proposed method reduces the unnecessary energy of the additional network while maintaining security strength. Experimental results indicate that the proposed method offers energy savings of up to 17% while maintaining the security strength against the two attacks as compared to the existing method.