Online Intrusion Behaviors: Sequences and Time Intervals

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...

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Bibliographic Details
Published in:Social behavior and personality 2010-11, Vol.38 (10), p.1307-1312
Main Authors: Chueh, Hao-En, Ho, Shun-Chuan, Chang, Shih-Peng, Hsu, Ping-Yu
Format: Article
Language:English
Subjects:
Internet
Intrusion Behaviors
Intrusion Detection System
Knowledge
Methods
Network Security
Safety and security measures
Security
Security management
Sequential Pattern Analysis
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Summary: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.
ISSN:0301-2212
1179-6391
DOI:10.2224/sbp.2010.38.10.1307