International Journal of Computer Network and Information Security (IJCNIS)
IJCNIS Vol. 6, No. 9, 8 Aug. 2014
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Artificial Intrusion Detection Techniques: A Survey
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Author(s)
Index Terms
Artificial Neural Network, Genetic Algorithm, Immunity, Intrusion Detection, False Alarm
Abstract
Networking has become the most integral part of our cyber society. Everyone wants to connect themselves with each other. With the advancement of network technology, we find this most vulnerable to breach and take information and once information reaches to the wrong hands it can do terrible things. During recent years, number of attacks on networks have been increased which drew the attention of many researchers on this field. There have been many researches on intrusion detection lately. Many methods have been devised which are really very useful but they can only detect the attacks which already took place. These methods will always fail whenever there is a foreign attack which is not famous or which is new to the networking world. In order to detect new intrusions in the network, researchers have devised artificial intelligence technique for Intrusion detection prevention system. In this paper we are going to cover what types evolutionary techniques have been devised and their significance and modification.
Cite This Paper
Ashutosh Gupta, Bhoopesh Singh Bhati, Vishal Jain, "Artificial Intrusion Detection Techniques: A Survey", International Journal of Computer Network and Information Security(IJCNIS), vol.6, no.9, pp.51-57, 2014. DOI:10.5815/ijcnis.2014.09.07
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