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» Behavioral Distance for Intrusion Detection
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PVLDB
2010
100views more  PVLDB 2010»
13 years 2 months ago
Efficient Proximity Detection among Mobile Users via Self-Tuning Policies
Given a set of users, their friend relationships, and a distance threshold per friend pair, the proximity detection problem is to find each pair of friends such that the Euclidean...
Man Lung Yiu, Leong Hou U, Simonas Saltenis, Kosta...
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
14 years 8 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Detecting outliers using transduction and statistical testing
Outlier detection can uncover malicious behavior in fields like intrusion detection and fraud analysis. Although there has been a significant amount of work in outlier detection, ...
Daniel Barbará, Carlotta Domeniconi, James ...
ICC
2009
IEEE
123views Communications» more  ICC 2009»
14 years 2 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...
USS
2004
13 years 9 months ago
Autograph: Toward Automated, Distributed Worm Signature Detection
Today's Internet intrusion detection systems (IDSes) monitor edge networks' DMZs to identify and/or filter malicious flows. While an IDS helps protect the hosts on its l...
Hyang-Ah Kim, Brad Karp