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» Detecting Novel Scans Through Pattern Anomaly Detection
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SDM
2008
SIAM
206views Data Mining» more  SDM 2008»
13 years 7 months ago
Latent Variable Mining with Its Applications to Anomalous Behavior Detection
In this paper, we propose a new approach to anomaly detection by looking at the latent variable space to make the first step toward latent anomaly detection. Most conventional app...
Shunsuke Hirose, Kenji Yamanishi
WISTP
2010
Springer
14 years 15 days ago
A Probabilistic Diffusion Scheme for Anomaly Detection on Smartphones
Widespread use and general purpose computing capabilities of next generation smartphones make them the next big targets of malicious software (malware) and security attacks. Given ...
Tansu Alpcan, Christian Bauckhage, Aubrey-Derrick ...
IJNSEC
2008
131views more  IJNSEC 2008»
13 years 5 months ago
Performance Analysis of Soft Computing Based Anomaly Detectors
Anomaly detectors have become a necessary component of the computer and information security framework. Some of the numerous drawbacks experienced by the current Anomaly detectors...
N. Srinivasan, V. Vaidehi
ACSAC
1998
IEEE
13 years 9 months ago
Detecting Anomalous and Unknown Intrusions Against Programs
The ubiquity of the Internet connection to desktops has been both boon to business as well as cause for concern for the security of digital assets that may be unknowingly exposed....
Anup K. Gosh, James Wanken, Frank Charron
ICDM
2009
IEEE
223views Data Mining» more  ICDM 2009»
14 years 6 days ago
Execution Anomaly Detection in Distributed Systems through Unstructured Log Analysis
Abstract -- Detection of execution anomalies is very important for the maintenance, development, and performance refinement of large scale distributed systems. Execution anomalies ...
Qiang Fu, Jian-Guang Lou, Yi Wang, Jiang Li