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A computer network intrusion detection and prevention system consists of collecting network traffic data, discovering user behavior patterns as intrusion detection rules, and applying these rules to prevent malicious and misuse. Many commercial off-the-shelf (COTS) products have been developed to perform each of these tasks. In this paper, the component-based software engineering approach is exploited...
At California State University Dominguez Hills, the Computer Science Department has created the "Computer Security Research Lab" (CSRL) to research and analyze ways to improve computer security at the network level. JACED is a program that will improve network and computer security. JACED will use data from sensors and mine the information to improve firewalls and detect new attacks. The...
Data mining and machine learning technology has been extensively applied in network intrusion detection and prevention systems by discovering user behavior patterns from the network traffic data. Some commercial tools for collecting network traffic data exist, such as SNORT. The traffic data collected from the network using these tools, however, usually doesnpsilat fit the format requirement of the...
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