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Title |
A Hybrid Approach for Black-hole Intrusion Detection using Fuzzy Logic and PSO Algorithm |
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Author |
M. Rohani hajiabadi, S. Gheisari, A. Ahvazi |
| Citation |
Vol. 24 No. 10 pp. 109-114 |
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Abstract |
Wireless Sensor Networks (WSN) includes a large number of small sensor nodes and low cost, which are randomly located in a region. The wireless sensor network has attracted much attention from universities and industry around the world over the past decades, with features denser levels of node deployment, self-configuration, uncertainty of sensor nodes, computing, and memory constraints. Black-hole attack is one of the most known attacks on this network. In this study, the combination of fuzzy logic and particle swarm optimization (PSO) algorithms is proposed as an effective method for detecting black-hole attack in the AODV protocol. In the current study, a new function has been proposed in order to determine the membership of fuzzy parameters based on the particle swarm optimization algorithm. The proposed method was evaluated in different scenarios and was compared with other state of arts. The simulation result of this method proved the better performance in both detection rate and delivered packet rate. |
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Keywords |
Wireless sensor networks, AODV, Fuzzy logic, Particle swarm optimization |
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