Cloud Attack Surface Analysis
Cloud Attack Surface Analysis is a systematic method for identifying, enumerating, and assessing the exploitable entry points and exposure vectors in cloud computing environments, distinguished from other attack surface analyses by its focus on the unique architectural, operational, and multi-tenancy characteristics of cloud infrastructures.
11
Publications
932
Citations
37
Authors
22
Institutions
Publications per year
2017–2026
5
Parents
11
Attack Surfaces: A Taxonomy for Attacks on Cloud Services
Nils Gruschka, Meiko Jensen · 2010 · 210 citations
Insider Attacks in Cloud Computing
Adrian Duncan, Sadie Creese, Michael Goldsmith · 2012 · 112 citations
Multi-tenancy in Cloud Computing
Hussain Lafi H AlJahdali, Abdulaziz Albatli, Peter Garraghan et al. · 2014 · 107 citations
Su Zhang, Xinwen Zhang, Xinming Ou · 2014 · 84 citations
1–5 of 11
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22

King Saud University
Riyadh, Saudi Arabia
1 h-index
1 publications
239 citations
Samsung (United States)
Ridgefield Park, United States
1 h-index
1 publications
84 citations

California State University, San Marcos
San Marcos, United States
1 h-index
3 publications
57 citations

University of Indianapolis
Indianapolis, United States
1 h-index
1 publications
67 citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
1 h-index
3 publications
201 citations
University of Malaya
Kuala Lumpur, Malaysia
1 h-index
5 publications
1.2K citations
University of East London
London, United Kingdom
1 h-index
1 publications
17 citations
University of South Carolina
Columbia, United States
1 h-index
1 publications
67 citations
1–8 of 22
1 publications · 17 citations
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JNCA · 1 publications · 239 citations
1
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1 publications · 12 citations
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