ONLINE INTRUSION BEHAVIORS: SEQUENCES AND TIME INTERVALS

NCUIR > School of Management at National Central University > Department of Business Administration > journal & Dissertation > Item 987654321/51712

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Title:	ONLINE INTRUSION BEHAVIORS: SEQUENCES AND TIME INTERVALS
Authors:	Chueh,HE;Ho,SC;Chang,SP;Hsu,PY
Contributors:	企業管理學系
Date:	2010
Issue Date:	2012-03-27 19:03:24 (UTC+8)
Publisher:	國立中央大學
Abstract:	In this study we model the sequences and time intervals of online intrusion behaviors. To maintain network security, intrusion detection systems monitor network environments; however, most existing intrusion detection systems produce too many intrusion alerts, causing network managers to investigate many potential intrusions individually to determine their validity. To solve this problem, we combined a clustering analysis of the time intervals of online users' behaviors with a sequential pattern analysis to identify genuine intrusion behaviors. Knowledge of the patterns generated by intruder behaviors can help network managers maintain network security.
Relation:	SOCIAL BEHAVIOR AND PERSONALITY
Appears in Collections:	[Department of Business Administration ] journal & Dissertation

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