Graph-based Attribution
Graph-Based Attribution is a methodological framework within malware attribution that leverages graph theory to model and analyze relationships among cyber entities, distinguishing itself by representing malicious activities, infrastructure, and actors as nodes and edges to infer attribution through structural and behavioral patterns in the graph.
8
Publications
158
Citations
35
Authors
15
Institutions
Publications per year
2017–2026
6
Parents
8
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability
Jie Song, Yixin Chen, Jingwen Ye et al. · 2020 · 28 citations
Graph attribution as a specification paradigm
Bowen Alpern, Alan Carle, Barry K. Rosen et al. · 1988 · 19 citations
Towards Attribution in Mobile Markets
Silvia Sebastián, Juan Caballero · 2020 · 19 citations
1–5 of 8
35
1
h-index
1
h-index
1
h-index
German Research Centre for Artificial Intelligence, Germany
1 publications · 23 citations
1
h-index
1
h-index
1–5 of 35
15

Central South University
Changsha, China
2 h-index
5 publications
109 citations
Case Western Reserve University
Cleveland, United States
1 h-index
6 publications
102 citations

Zhejiang University
Hangzhou, China
1 h-index
5 publications
140 citations

Universidad Politécnica de Madrid
Madrid, Spain
1 h-index
1 publications
19 citations
IBM (United States)
Armonk, United States
1 h-index
3 publications
57 citations
IMDEA Software Institute
Pozuelo de Alarcón, Spain
1 h-index
2 publications
38 citations
Brown University
Providence, United States
1 h-index
1 publications
19 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
1 publications
17 citations
1–8 of 15
IJCSA · 1 publications · 23 citations
1
h-index
1 publications · 15 citations
1
h-index
1 publications · 24 citations
1
h-index
IOJCAZ · 1 publications · 10 citations
1–4