期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：69
期号：2
出版社：Journal of Theoretical and Applied
摘要：Intrusion detection system plays a vital role in system security which operates data in real time that may leads to dimensionality problem. As the number and size of the Network and Internet traffic increase and the need for the intrusion detection grows in step to reduce the overhead required for the intrusion detection and diagnosis, it has made public servers increasingly vulnerable to unauthorized accesses and incursion of intrusions. However, detecting the new type of attacks on a network system is a very difficult problem from the perspective of the classification mechanism of IDS. This research work presents swarm intelligence based approach for IDS to solve the QoS multicast routing problem of the entire network. In this paper, the Artificial Bee Colony operators are integrated with Genetic Algorithm (GA) where the employed Bees, Onlooker Bees and Scout Bees are there to improve the solution space named as Artificial Bee Genetic Colony Algorithm (ABGCA). Whereas Genetic algorithms belong to evolutionary algorithms, which produce solutions to optimization problems by means of approaches motivated by natural evolution. Artificial Bee Colony (ABC) is an algorithm derived from the intelligent actions of honey bee swarm. In the proposed approach, the operators of ABC are integrated with GA for local search strategy. In order to improve the overall performance of the system, hybrid swarm intelligence techniques can be used in IDS. The simulation results show that this algorithm has fast convergence and it improves the network security of the system.
