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» Detecting worm variants using machine learning
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ASPLOS
2010
ACM
15 years 9 months ago
Accelerating the local outlier factor algorithm on a GPU for intrusion detection systems
The Local Outlier Factor (LOF) is a very powerful anomaly detection method available in machine learning and classification. The algorithm defines the notion of local outlier in...
Malak Alshawabkeh, Byunghyun Jang, David R. Kaeli
ICSM
2006
IEEE
15 years 8 months ago
Using the Case-Based Ranking Methodology for Test Case Prioritization
The test case execution order affects the time at which the objectives of testing are met. If the objective is fault detection, an inappropriate execution order might reveal most ...
Paolo Tonella, Paolo Avesani, Angelo Susi
106
Voted
CCS
2010
ACM
15 years 2 months ago
PinDr0p: using single-ended audio features to determine call provenance
The recent diversification of telephony infrastructure allows users to communicate through landlines, mobile phones and VoIP phones. However, call metadata such as Caller-ID is ei...
Vijay A. Balasubramaniyan, Aamir Poonawalla, Musta...
CONEXT
2010
ACM
15 years 18 days ago
NEVERMIND, the problem is already fixed: proactively detecting and troubleshooting customer DSL problems
Traditional DSL troubleshooting solutions are reactive, relying mainly on customers to report problems, and tend to be labor-intensive, time consuming, prone to incorrect resoluti...
Yu Jin, Nick G. Duffield, Alexandre Gerber, Patric...
104
Voted
CCS
2003
ACM
15 years 7 months ago
Cryptographic tamper evidence
We propose a new notion of cryptographic tamper evidence. A tamper-evident signature scheme provides an additional procedure Div which detects tampering: given two signatures, Div...
Gene Itkis