Atayero, A. A. and Ilori, Olusegun A. and Adedokun, Michael O. (2015) Development of FIGA: a Novel Trust-Based Algorithm for Securing Autonomous Interactions in WSN. In: Proceedings of the World Congress on Engineering and Computer Science 2015, October 21-23, 2015, San Francisco, USA.
![[img]](http://eprints.covenantuniversity.edu.ng/style/images/fileicons/application_pdf.png) |
PDF
Download (2MB) |
Abstract
Attempts at securing wireless sensor networks (WSN) and making them more resilient and self-healing after attacks demand that services rendered by the network be secured on individual basis. The fact that a node is malfunctioning and/or has been compromised does not necessarily warrant its elimination from the network. Albeit, services such as routing, sensor readings, key distribution schemes, and others are handled in isolation and individually, due to the fact that an attack or malfunction may only be temporary. Moreover, an attack aimed at routing, or a particular application service does not invalidate nodes or the entire network. Consequently, Fuzzy Inference Gatekeeper Algorithm (FIGA); the algorithm presented in this paper proposes a piecemeal approach to WSN security. FIGA secures interactions in autonomous WSN by using a contextualized fuzzy inference system to combine trust scores from individual node interactions, reputation scores gotten from consultations and time dependent exponential trust scores. By so doing, we argue that autonomous WSNs can be better secured. We further illustrate the effectiveness of the FIGA against a simulated Sybil attack and discuss how the network recovers following such an attack.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Algorithm, Sybil attack, Trust, WSN |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Engineering Sciences |
| Depositing User: | nwokealisi |
| Date Deposited: | 25 Jul 2023 10:42 |
| Last Modified: | 25 Jul 2023 10:42 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/17202 |
Actions (login required)
 |
View Item |
