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 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.
Keywords: INTRUSION BEHAVIORS; INTRUSION DETECTION SYSTEM; NETWORK SECURITY; SEQUENTIAL PATTERN ANALYSIS
Document Type: Research Article
Publication date: 01 November 2010
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