Detecting Sinkhole Attack in Wireless Sensor Network using Enhanced Particle Swarm Optimization Technique
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چکیده
منابع مشابه
Detecting Sinkhole Attack in Wireless Sensor Network using Enhanced Particle Swarm Optimization Technique
Wireless Sensor Network (WSN) is a collection of tiny sensor nodes capable of sensing and processing the data. These sensors are used to collect the information from the environment and pass it on to the base station. A WSN is more vulnerable to various attacks. Among the different types of attacks, sinkhole attack is more vulnerable because it leads to a variety of attacks further in the netwo...
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Wireless Sensor Network (WSN) is emerging as a prevailing technology due to its wide range of applications in military and civilian domains. These networks are easily prone to security attacks. Unattended installation of sensor nodes in the environment causes many security threats in the wireless sensor networks. There are many possible attacks on sensor network such as selective forwarding, ja...
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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 ...
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Swarm intelligence, a nature inspired computing applies an algorithm situated within the context of agent based models that mimics the behavior of ants to detect sinkhole attacks in wireless sensor networks. An Ant Colony Optimization Attack Detection (ACO-AD) algorithm is proposed to identify the sinkhole attacks based on the nodeids defined in the ruleset. The nodes generating an alert on ide...
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ژورنال
عنوان ژورنال: International Journal of Security and Its Applications
سال: 2016
ISSN: 1738-9976,1738-9976
DOI: 10.14257/ijsia.2016.10.3.05