Results 171 to 180 of about 32,608 (204)
Integrating NLP and Ensemble Learning into Next-Generation Firewalls for Robust Malware Detection in Edge Computing. [PDF]
Sensors (Basel)Moila RL, Velempini M.
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MaSS-Droid: Android Malware Detection Framework Using Multi-Layer Feature Screening and Stacking Integration. [PDF]
Entropy (Basel)Zhang Z, Han Q, Shi Z.
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A dataset of windows malware execution traces. [PDF]
Data BriefRaducu R +3 more
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FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]
Sci RepPatel A +3 more
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International Journal of Wireless Networks and Broadband Technologies, 2012
Much as information systems themselves evolve and incorporate innovation, so too has malicious software, or “malware.” The increasing threat to those who use and trust in these systems is dangerous to overlook. This article examines recent trends in malware development.
Michael Brian Pope +2 more
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Much as information systems themselves evolve and incorporate innovation, so too has malicious software, or “malware.” The increasing threat to those who use and trust in these systems is dangerous to overlook. This article examines recent trends in malware development.
Michael Brian Pope +2 more
openaire +2 more sources
Proceedings of the 11th Annual conference on Genetic and evolutionary computation, 2009
The concept of artificial evolution has been applied to numerous real world applications in different domains. In this paper, we use this concept in the domain of virology to evolve computer viruses. We call this domain as "Evolvable Malware". To this end, we propose an evolutionary framework that consists of three modules: (1) a code analyzer that ...
Sadia Noreen +3 more
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The concept of artificial evolution has been applied to numerous real world applications in different domains. In this paper, we use this concept in the domain of virology to evolve computer viruses. We call this domain as "Evolvable Malware". To this end, we propose an evolutionary framework that consists of three modules: (1) a code analyzer that ...
Sadia Noreen +3 more
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Proceedings of the 2008 New Security Paradigms Workshop, 2008
The fight against malicious software (or malware, which includes everything from worms to viruses to botnets) is often viewed as an "arms race." Conventional wisdom is that we must continually "raise the bar" for the malware creators. However, the multitude of malware has itself evolved into a complex environment, and properties not unlike those of ...
Jedidiah R. Crandall +4 more
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The fight against malicious software (or malware, which includes everything from worms to viruses to botnets) is often viewed as an "arms race." Conventional wisdom is that we must continually "raise the bar" for the malware creators. However, the multitude of malware has itself evolved into a complex environment, and properties not unlike those of ...
Jedidiah R. Crandall +4 more
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Communications of the ACM, 2003
August 2003: SoBig, W32/Blaster, and the malware month of the millennium.
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August 2003: SoBig, W32/Blaster, and the malware month of the millennium.
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Malware behavior image for malware variant identification
2014 International Symposium on Biometrics and Security Technologies (ISBAST), 2014Several methods have been devised by researchers to facilitate malware analysis and one of them is through malware visualization. Malware visualization is a field that focuses on representing malware features in a form of visual cues that could be used to convey more information about a particular malware.
Syed Zainudeen Mohd Shaid +1 more
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