SINKHOLE ATTACK DETECTION IN MANET USING SWARM INTELLIGENCE TECHNIQUES

A Study on Sinkhole Attack Detection using Swarm Intelligence Techniques for Wireless Sensor Networks

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 ...

Swarm intelligence based approach for sinkhole attack detection in wireless sensor networks

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...

A Survey of Sinkhole Attack on DSR in MANET

MANET is a collection of wireless mobile node that communicating with each other without the use of network infrastructure. Each mobile node in mobile ad hoc network act as a host as well as router and willing to forward data to other nodes. A routing protocol is essential whose primary goal is to establish correct & well-organized route between pair of nodes, due to this reason, the routing pr...

Data Preprocessing for Intrusion Detection System using Swarm Intelligence Techniques

Due to access of malicious data in internet, Intrusion detection system becomes an important element in system security that controls real time data and leads to huge dimensional problem, so a data pre-processing is necessary to reduce haziness and to clean network data. To reduce false positive rate and to increase efficiency of detection, the paper proposed a new swarm intelligence technique ...

Face Detection using Swarm Intelligence