Signature-based Malware Classification
Signature-Based Malware Classification is a malware classification method that identifies malicious software by matching predefined patterns or signatures of known malware instances against candidate samples, distinguishing it from behavioral or heuristic approaches through its reliance on static, identifiable artifacts unique to specific malware families.
54
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4.3K
Citations
164
Authors
69
Institutions
Publications per year
2017–2026
28
Parents
54
Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs
Malware Analysis and Classification: A Survey
Ekta Gandotra, Divya Bansal, Sanjeev Sofat · Journal of Information Security · 2014 · 409 citations · Full text
Behavioral detection of malware on mobile handsets
Abhijit Bose, Xin Hu, Kang G. Shin et al. · 2008 · 278 citations
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Ben-Gurion University of the Negev
Beersheba, Israel
2 h-index
10 publications
1.8K citations
Islamic Azad University of Kermanshah
Kermanshah, Iran
2 h-index
4 publications
112 citations
Shahid Beheshti University
Tehran, Iran
2 h-index
2 publications
56 citations

University of Molise
Campobasso, Italy
2 h-index
5 publications
73 citations
Islamic Azad University Kerman
Kerman, Iran
2 h-index
4 publications
112 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
4 publications
69 citations
Institute of Informatics and Telematics
Pisa, Italy
2 h-index
2 publications
29 citations

Universiti Sains Malaysia
George Town, Malaysia
2 h-index
4 publications
190 citations
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3 publications · 383 citations
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1 publications · 265 citations
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1 publications · 29 citations
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1 publications · 102 citations
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1 publications · 32 citations
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