Title :
Based on pattern discovery network anomaly detection algorithm
Author :
Zhang, Mian ; Zhang, Li
Author_Institution :
Jixin Bu of Beijing Univ. of Civil Eng. & Archit. (BUCEA), Beijing, China
Abstract :
This study was on the computer network layer and application layer data packet interception, analysis, analysis of network data flow filter, protocol decoding, multi-node collaborative detection, anomaly feature extraction, pattern discovery algorithms, intrusion detection model, network-level intrusion detection The algorithm and protocol analysis test method and so on, trying to find fast and efficient range of network anomaly intrusion detection algorithm.
Keywords :
computer networks; data flow analysis; data mining; feature extraction; protocols; security of data; anomaly feature extraction; application layer data packet interception; computer network layer; multinode collaborative detection; network anomaly detection; network data flow filter; network-level intrusion detection; pattern discovery; protocol analysis; protocol decoding; use mining; Algorithm design and analysis; Computers; Feature extraction; Heuristic algorithms; IP networks; Intrusion detection; anomaly detection; intrusion detection; use mining;
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
DOI :
10.1109/ICCSE.2010.5593741
