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KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 2 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
107
Voted
CCS
2006
ACM
15 years 5 months ago
Evading network anomaly detection systems: formal reasoning and practical techniques
Attackers often try to evade an intrusion detection system (IDS) when launching their attacks. There have been several published studies in evasion attacks, some with available to...
Prahlad Fogla, Wenke Lee
IPPS
2010
IEEE
14 years 11 months ago
Distributed monitoring of conditional entropy for anomaly detection in streams
In this work we consider the problem of monitoring information streams for anomalies in a scalable and efficient manner. We study the problem in the context of network streams wher...
Chrisil Arackaparambil, Sergey Bratus, Joshua Brod...
ICC
2009
IEEE
123views Communications» more  ICC 2009»
15 years 8 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...
CIT
2004
Springer
15 years 7 months ago
TCP Based Denial-of-Service Attacks to Edge Network: Analysis and Detection
End-to-end congestion control algorithms in TCP are designed for a highly co-operative environment with the assumption that the end hosts voluntarily participate in it and obey th...
V. Anil Kumar, Dorgham Sisalem