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Online Intrusion Behaviors: Sequences and Time Intervals

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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.
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Keywords: INTRUSION BEHAVIORS; INTRUSION DETECTION SYSTEM; NETWORK SECURITY; SEQUENTIAL PATTERN ANALYSIS

Document Type: Research Article

Publication date: 2010-11-01

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