Malware Lineage Analysis
Malware Lineage Analysis is a methodological framework within malware intelligence that establishes the evolutionary relationships among malware samples by identifying shared code, artifacts, and behavioral traits to determine common ancestry and divergence over time.
12
Publications
343
Citations
56
Authors
22
Institutions
Publications per year
2017–2026
7
12
Towards Automatic Software Lineage Inference
Jiyong Jang, Maverick Woo, David Brumley · Figshare · 2018 · 57 citations · Full text
Malware Analysis and attribution using Genetic Information
Avi Pfeffer, Catherine Call, John Chamberlain et al. · 2012 · 43 citations
An empirical study of malware evolution
Archit Gupta, Pavan Kuppili, Aditya Akella et al. · 2009 · 41 citations
An Evolutionary Study of IoT Malware
Huanran Wang, Weizhe Zhang, Hui He et al. · IEEE Internet of Things Journal · 2021 · 39 citations
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity
Kexin Pei, Xuan Zhou, Junfeng Yang et al. · arXiv (Cornell University) · 2020 · 35 citations · Full text
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University of Louisiana at Lafayette
Lafayette, United States
3 h-index
7 publications
210 citations

University of Pisa
Pisa, Italy
2 h-index
2 publications
28 citations
University of California, Riverside
Riverside, United States
2 h-index
2 publications
54 citations

University of Sannio
Benevento, Italy
2 h-index
6 publications
84 citations
Institute of Informatics and Telematics
Pisa, Italy
2 h-index
4 publications
56 citations
Charles River Analytics (United States)
Cambridge, United States
1 h-index
7 publications
301 citations
Peng Cheng Laboratory
Shenzhen, China
1 h-index
1 publications
39 citations
Columbia University
New York, United States
1 h-index
4 publications
140 citations
1–8 of 22
Conference · 1 publications · 11 citations
1
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Repository · 1 publications · 57 citations
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1 publications · 32 citations
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Repository · 1 publications · 35 citations
1
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Conference · 1 publications · 24 citations
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