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» IMDS: intelligent malware detection system
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GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 7 months ago
Improving accuracy of immune-inspired malware detectors by using intelligent features
In this paper, we show that a Bio-inspired classifier’s accuracy can be dramatically improved if it operates on intelligent features. We propose a novel set of intelligent feat...
M. Zubair Shafiq, Syed Ali Khayam, Muddassar Faroo...
ICONIP
2009
13 years 4 months ago
Automated Log Analysis of Infected Windows OS Using Mechanized Reasoning
Malware (Malicious Software) of Windows OS has become more sophisticated. To take some countermeasures for recent infection, more intelligent and automated system log analysis is n...
Ruo Ando
CRITIS
2007
13 years 7 months ago
A Malware Detector Placement Game for Intrusion Detection
We propose and investigate a game-theoretic approach to the malware filtering and detector placement problem which arises in network security. Our main objective is to develop opt...
Stephan Schmidt, Tansu Alpcan, Sahin Albayrak, Tam...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 11 months ago
On the appropriateness of evolutionary rule learning algorithms for malware detection
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
14 years 25 days ago
Are evolutionary rule learning algorithms appropriate for malware detection?
In this paper, we evaluate the performance of ten well-known evolutionary and non-evolutionary rule learning algorithms. The comparative study is performed on a real-world classi...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...