Data Mining - Analysis White Papers
A Lightweight Online Network Anomaly Detection Scheme Based on Data Mining Methods
Overview Network IDS look for known or potential malicious activities in network traffic and raise an alarm whenever a suspicious activity is detected. Anomaly detection applied to intrusion detection and computer security has been an active area of research since it was originally proposed by Denning in 1980s. Current anomaly detection algorithms are particularly effective in detecting network threats such as DoS, DDoS, Worm, spam, etc.
| Publisher | Institute of Computing Technology | File Format | |
|---|---|---|---|
| Date Published | September 2007 | ||
| Format | White Papers | ||
| Topics | |||
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