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» Using IRP for Malware Detection
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ACSAC
2005
IEEE
15 years 3 months ago
Design and Implementation of an Extrusion-based Break-In Detector for Personal Computers
An increasing variety of malware, such as worms, spyware and adware, threatens both personal and business computing. Remotely controlled bot networks of compromised systems are gr...
Weidong Cui, Randy H. Katz, Wai-tian Tan
GECCO
2009
Springer
161views Optimization» more  GECCO 2009»
15 years 4 months 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 classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
GECCO
2009
Springer
162views Optimization» more  GECCO 2009»
15 years 2 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 classiï...
M. Zubair Shafiq, S. Momina Tabish, Muddassar Faro...
MOBISYS
2008
ACM
15 years 9 months ago
Detecting energy-greedy anomalies and mobile malware variants
Mobile users of computation and communication services have been rapidly adopting battery-powered mobile handhelds, such as PocketPCs and SmartPhones, for their work. However, the...
Hahnsang Kim, Joshua Smith, Kang G. Shin
SP
2006
IEEE
127views Security Privacy» more  SP 2006»
15 years 3 months ago
Siren: Catching Evasive Malware (Short Paper)
With the growing popularity of anomaly detection systems, which is due partly to the rise in zero-day attacks, a new class of threats have evolved where the attacker mimics legiti...
Kevin Borders, Xin Zhao, Atul Prakash