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A Malware Classification Method Based on Generic Malware Information
2015Since attackers easily have been making malware using dedicated malware generation tools, the number of malware is increasing rapidly. However, it is hard to analyze all malwares because of rise in high-volume of malwares. For this reason, many researchers have proposed the malware classification methods for classifying new and well-known types of ...
Jiyeon Choi +3 more
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QuEST for malware type-classification
SPIE Proceedings, 2015Current cyber-related security and safety risks are unprecedented, due in no small part to information overload and skilled cyber-analyst shortages. Advances in decision support and Situation Awareness (SA) tools are required to support analysts in risk mitigation.
Sandra L. Vaughan +6 more
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Malware Payload Dissection and Classification
2020A poisonous snake bites a person. What is the procedure to treat a snakebite victim? You take the patient to the hospital. First, there must be an assurance that the victim has been bitten by a snake and not by any other animal. Next, the patient is given an antidote, but not any antidote.
Abhijit Mohanta, Anoop Saldanha
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Malware classification with recurrent networks
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015Attackers often create systems that automatically rewrite and reorder their malware to avoid detection. Typical machine learning approaches, which learn a classifier based on a handcrafted feature vector, are not sufficiently robust to such reorderings. We propose a different approach, which, similar to natural language modeling, learns the language of
Razvan Pascanu +4 more
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Malware classification using instruction frequencies
Proceedings of the 2011 ACM Symposium on Research in Applied Computation, 2011Developing variants of malware is a common and effective method to avoid the signature detection of antivirus programs. Malware analysis and signature abstraction are essential technologies to update the detection signature DB for malware detection. Since most malware binary analysis processes are performed manually, malware binary analysis is a time ...
Kyoung Soo Han +2 more
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Malware Classification using Malware Visualization and Deep Learning
2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023Prabhpreet Singh +2 more
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Malware Classification Using Image Representation
2019In the recent years, there has been a rapid rise in the number of files submitted to anti-virus companies for analysis. It has become very difficult to analyse the functionality of each file manually. Malware developers have been highly successful in evading signature-based detection techniques. Most of the prevailing static analysis techniques involve
Ajay Singh +3 more
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Malware Classification using Image Analysis
Abstract—Malware detection and classification have evolved significantly with the integration of pattern recognition and image classification techniques. A pioneering study by Nataraj et al. (2011) [1] demonstrated that malware binaries could be visualized as grayscale images, revealing structural and textural similarities among malware families ...Syam Gopi +4 more
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Malware Classification using Deep Learning
SSRN Electronic Journal, 2022Ameena K Nazeer, Thara RJ
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