Attack Surface Mapping
Attack Surface Mapping is a systematic methodological process within cybersecurity research that identifies, catalogs, and analyzes all potential entry points of exposure across digital assets, distinguishing itself from related concepts by providing a comprehensive, structured representation of attackable surfaces to enable proactive threat identification and prioritization.
12
Publications
485
Citations
55
Authors
23
Institutions
Publications per year
2017–2026
8
12
ZSM Security: Threat Surface and Best Practices
Chafika Benzaïd, Tarik Taleb · IEEE Network · 2020 · 91 citations · Full text
Su Zhang, Xinwen Zhang, Xinming Ou · 2014 · 84 citations
1–5 of 12
55
1
h-index
University at Buffalo, State University of New York, United States
1 publications · 32 citations
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 55
23
University of Alabama
Tuscaloosa, United States
1 h-index
2 publications
84 citations
Rochester Institute of Technology
Rochester, United States
1 h-index
2 publications
84 citations
Aalto University
Espoo, Finland
1 h-index
1 publications
91 citations
North Carolina State University
Raleigh, United States
1 h-index
2 publications
84 citations
Southwest University
Chongqing, China
1 h-index
2 publications
30 citations
Research!America (United States)
Alexandria, United States
1 h-index
1 publications
84 citations
Dartmouth College
Hanover, United States
1 h-index
4 publications
84 citations
Mississippi State University
Starkville, United States
1 h-index
2 publications
76 citations
1–8 of 23
1 publications · 42 citations
1
h-index
1 publications · 91 citations
1
h-index
Conference · 1 publications · 15 citations
1
h-index
1 publications · 38 citations
1
h-index
1 publications · 20 citations
1
h-index
1–5