Efficient classification using parallel and scalable compressed model   and its application on intrusion detection

doi:10.1016/j.eswa.2014.04.009

CORC > 北京大学 > 软件与微电子学院

	Efficient classification using parallel and scalable compressed model and its application on intrusion detection
	Chen, Tieming ; Zhang, Xu ; Jin, Shichao ; Kim, Okhee
刊名	expert systems with applications
	2014
关键词	Compressed model Map Reduce Parallelization Classification Intrusion detection SUPPORT VECTOR MACHINES DETECTION SYSTEM
DOI	10.1016/j.eswa.2014.04.009
英文摘要	In order to achieve high efficiency of classification in intrusion detection, a compressed model is proposed in this paper which combines horizontal compression with vertical compression. OneR is utilized as horizontal compression for attribute reduction, and affinity propagation is employed as vertical compression to select small representative exemplars from large training data. As to be able to computationally compress the larger volume of training data with scalability, MapReduce based parallelization approach is then implemented and evaluated for each step of the model compression process abovementioned, on which common but efficient classification methods can be directly used. Experimental application study on two publicly available datasets of intrusion detection, KDD99 and CMDC2012, demonstrates that the classification using the compressed model proposed can effectively speed up the detection procedure at up to 184 times, most importantly at the cost of a minimal accuracy difference with less than 1% on average. (C) 2014 Elsevier Ltd. All rights reserved.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000336872300026&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Operations Research & Management Science; SCI(E); EI; 2; ARTICLE; tmchen@zjut.edu.cn; 13; 5972-5983; 41
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/208725]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Chen, Tieming,Zhang, Xu,Jin, Shichao,et al. Efficient classification using parallel and scalable compressed model and its application on intrusion detection[J]. expert systems with applications,2014.
APA	Chen, Tieming,Zhang, Xu,Jin, Shichao,&Kim, Okhee.(2014).Efficient classification using parallel and scalable compressed model and its application on intrusion detection.expert systems with applications.
MLA	Chen, Tieming,et al."Efficient classification using parallel and scalable compressed model and its application on intrusion detection".expert systems with applications (2014).