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WOSP
2004
ACM
14 years 1 months ago
Generating realistic workloads for network intrusion detection systems
While the use of network intrusion detection systems (nIDS) is becoming pervasive, evaluating nIDS performance has been found to be challenging. The goal of this study is to deter...
Spyros Antonatos, Kostas G. Anagnostakis, Evangelo...
MOBIHOC
2010
ACM
13 years 5 months ago
The intrusion detection in mobile sensor network
Intrusion detection is an important problem in sensor networks. Prior works in static sensor environments show that constructing sensor barriers with random sensor deployment can ...
Gabriel Yik Keung, Bo Li, Qian Zhang
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
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
ACSAC
2003
IEEE
13 years 11 months ago
Bayesian Event Classification for Intrusion Detection
Intrusion detection systems (IDSs) attempt to identify attacks by comparing collected data to predefined signatures known to be malicious (misuse-based IDSs) or to a model of lega...
Christopher Krügel, Darren Mutz, William K. R...