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IJNSEC
2008
95views more  IJNSEC 2008»
13 years 8 months ago
Generalized Anomaly Detection Model for Windows-based Malicious Program Behavior
In this paper we demonstrate that it is possible in general to detect Windows-based malicious program behavior. Since S. Forrest et al. used the N-grams method to classify system ...
Xin Tang, Constantine N. Manikopoulos, Sotirios G....
WORM
2003
13 years 10 months ago
Detection of injected, dynamically generated, and obfuscated malicious code
This paper presents DOME, a host-based technique for detecting several general classes of malicious code in software executables. DOME uses static analysis to identify the locatio...
Jesse C. Rabek, Roger I. Khazan, Scott M. Lewandow...
ACSAC
2004
IEEE
14 years 8 days ago
RACOON: Rapidly Generating User Command Data For Anomaly Detection From Customizable Templates
One of the biggest obstacles faced by user command based anomaly detection techniques is the paucity of data. Gathering command data is a slow process often spanning months or yea...
Ramkumar Chinchani, Aarthie Muthukrishnan, Madhusu...
WISTP
2010
Springer
14 years 3 months 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 ...
ISSTA
2009
ACM
14 years 3 months ago
AVA: automated interpretation of dynamically detected anomalies
Dynamic analysis techniques have been extensively adopted to discover causes of observed failures. In particular, anomaly detection techniques can infer behavioral models from obs...
Anton Babenko, Leonardo Mariani, Fabrizio Pastore