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» Host Based Intrusion Detection using Machine Learning
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TNC
2004
120views Education» more  TNC 2004»
13 years 9 months ago
Realtime Intrusion-Forensics: A First Prototype Implementation (based on a stack-based NIDS)
The function of a Network Intrusion Detection System (NIDS) is to identify any misuse and abnormal behavior determined as an attack to a network segment or network host. The propo...
Udo Payer
INFOCOM
2009
IEEE
14 years 2 months ago
Identifying High Cardinality Internet Hosts
—The Internet host cardinality, defined as the number of distinct peers that an Internet host communicates with, is an important metric for profiling Internet hosts. Some examp...
Jing Cao, Yu Jin, Aiyou Chen, Tian Bu, Zhi-Li Zhan...
ASIAN
2004
Springer
117views Algorithms» more  ASIAN 2004»
14 years 1 months ago
The Feature Selection and Intrusion Detection Problems
Cyber security is a serious global concern. The potential of cyber terrorism has posed a threat to national security; meanwhile the increasing prevalence of malware and incidents o...
Andrew H. Sung, Srinivas Mukkamala
AINA
2008
IEEE
13 years 9 months ago
Monitoring Network Traffic to Detect Stepping-Stone Intrusion
Most network intruders tend to use stepping-stones to attack or to invade other hosts to reduce the risks of being discovered. There have been many approaches that were proposed t...
Jianhua Yang, Byong Lee, Stephen S. H. Huang
KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 8 months ago
Selection, combination, and evaluation of effective software sensors for detecting abnormal computer usage
We present and empirically analyze a machine-learning approach for detecting intrusions on individual computers. Our Winnowbased algorithm continually monitors user and system beh...
Jude W. Shavlik, Mark Shavlik