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Network Security White Papers

Detecting Novel Network Intrusions Using Bayes Estimators

Tags:
network security

Overview From the first appearance of network attacks, the internet worm, to the most recent one in which the servers of several famous e-business companies were paralyzed for several hours, causing huge financial losses, network-based attacks have been increasing in frequency and severity. As a powerful weapon to protect networks, intrusion detection has been gaining a lot of attention. Traditionally, intrusion detection techniques are classified into two broad categories: misuse detection and anomaly detection. Misuse detection aims to detect well-known attacks as well as slight variations of them, by characterizing the rules that govern these attacks. Due to its nature, misuse detection has low false alarms but it is unable to detect any attacks that lie beyond its knowledge.

Further White Paper Details
Publisher	Society for Industrial and Applied Mathematics	File Format	PDF
Date Published	May 2008
Format	White Papers
Topics	Network Security, Security Management, Intrusion Detection Systems

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