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» A Formal Framework for Program Anomaly Detection
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COMMA
2008
13 years 6 months ago
A Level-based Approach to Computing Warranted Arguments in Possibilistic Defeasible Logic Programming
Abstract. Possibilistic Defeasible Logic Programming (P-DeLP) is an argumentation framework based on logic programming which incorporates a treatment of possibilistic uncertainty a...
Teresa Alsinet, Carlos Iván Chesñeva...
CCS
2009
ACM
14 years 1 days ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
ISSTA
2010
ACM
13 years 9 months ago
Learning from 6, 000 projects: lightweight cross-project anomaly detection
Real production code contains lots of knowledge—on the domain, on the architecture, and on the environment. How can we leverage this knowledge in new projects? Using a novel lig...
Natalie Gruska, Andrzej Wasylkowski, Andreas Zelle...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 9 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
WWIC
2010
Springer
193views Communications» more  WWIC 2010»
13 years 9 months ago
0day Anomaly Detection Made Possible Thanks to Machine Learning
Abstract. This paper proposes new cognitive algorithms and mechanisms for detecting 0day attacks targeting the Internet and its communication performances and behavior. For this pu...
Philippe Owezarski, Johan Mazel, Yann Labit