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AI based Hybrid Ensemble Technique for Network Security

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IJCA Proceedings on International Conference on Advancements in Engineering and Technology
© 2016 by IJCA Journal
ICAET 2016 - Number 8
Year of Publication: 2016
Authors:
Indubala
Yogesh Kumar

Indubala and Yogesh Kumar. Article: AI based Hybrid Ensemble Technique for Network Security. IJCA Proceedings on International Conference on Advancements in Engineering and Technology ICAET 2016(8):1-10, September 2016. Full text available. BibTeX

@article{key:article,
	author = {Indubala and Yogesh Kumar},
	title = {Article: AI based Hybrid Ensemble Technique for Network Security},
	journal = {IJCA Proceedings on International Conference on Advancements in Engineering and Technology},
	year = {2016},
	volume = {ICAET 2016},
	number = {8},
	pages = {1-10},
	month = {September},
	note = {Full text available}
}

Abstract

Due to excessive use of internet the problem of intrusion is also increased. So, to detect the intrusion in the network traffic, various AI based intrusion detection techniques are used but there is no such technique is available which is used for detecting the network attacks or monitors system activities for malicious activities and produces reports to a management station that can detect various types of network attacks with high accuracy. So the idea of this research paper is to find promising AI based method which classify each type of network traffic class and combine them by proposing an effective combination technique i. e. ensemble technique which can detect all network attacks, so as to increase the overall accuracy and performance of the IDS.

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