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ISSTA
2012
ACM
11 years 7 months ago
A quantitative study of accuracy in system call-based malware detection
Over the last decade, there has been a significant increase in the number and sophistication of malware-related attacks and infections. Many detection techniques have been propos...
Davide Canali, Andrea Lanzi, Davide Balzarotti, Ch...
ICARIS
2009
Springer
13 years 11 months ago
A Sense of 'Danger' for Windows Processes
The sophistication of modern computer malware demands run-time malware detection strategies which are not only efficient but also robust to obfuscation and evasion attempts. In thi...
Salman Manzoor, M. Zubair Shafiq, S. Momina Tabish...
GECCO
2008
Springer
206views Optimization» more  GECCO 2008»
13 years 5 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...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
13 years 9 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...
KDD
2007
ACM
566views Data Mining» more  KDD 2007»
14 years 5 months ago
IMDS: intelligent malware detection system
The proliferation of malware has presented a serious threat to the security of computer systems. Traditional signature-based antivirus systems fail to detect polymorphic and new, ...
Yanfang Ye, Dingding Wang, Tao Li, Dongyi Ye