A Study on Sinkhole Attack Detection using Swarm Intelligence Techniques for Wireless Sensor Networks
نویسنده
چکیده
Wireless Sensor Network is one of the emerging fields in research area. It can be applied in several areas such as Area Monitoring, Health Care Monitoring, Environmental and Earth Sensing and Industrial Monitoring. WSNs are most vulnerable to various attacks like Denial of service attack, Wormhole attack, Sybil attack, Sinkhole attack, Select Forwarding attack, Blackhole attack, Malicious node and Hello flood attack. Among these attacks, sinkhole attacks are more vulnerable. This paper provides a survey of various techniques to detect sinkhole attack in WSN. The study also focuses on the application of swarm intelligence techniques for sinkhole attacks detection.
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Detecting Sinkhole Attack in Wireless Sensor Network using Enhanced Particle Swarm Optimization Technique
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