Memory Corruption Analysis
Memory Corruption Analysis is a methodological framework within reverse engineering that identifies and examines improper memory access and manipulation in software systems to discover vulnerabilities arising from deviations in expected memory behavior.
25
Publications
1.5K
Citations
67
Authors
28
Institutions
Publications per year
2017–2026
8
25
IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based Fuzzing
Jiongyi Chen, Wenrui Diao, Qingchuan Zhao et al. · 2018 · 325 citations · Full text
Yichen Xie, Andy Chou, Dawson Engler · 2003 · 177 citations
Asia Slowinska, Herbert Bos · 2009 · 136 citations
Sudheendra Hangal, Durgam Vahia, Chaiyasit Manovit et al. · ACM SIGARCH Computer Architecture News · 2004 · 105 citations
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28
Stanford University
Stanford, United States
3 h-index
9 publications
741 citations

University of Bristol
Bristol, United Kingdom
2 h-index
2 publications
105 citations

Barcelona Supercomputing Center
Barcelona, Spain
2 h-index
6 publications
315 citations

University of Duisburg-Essen
Essen, Germany
2 h-index
6 publications
87 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
6 publications
315 citations

Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
2 h-index
3 publications
418 citations
University of California, Berkeley
Berkeley, United States
1 h-index
1 publications
100 citations
University of California San Diego
San Diego, United States
1 h-index
3 publications
186 citations
1–8 of 28
Repository · 2 publications · 29 citations
2
h-index
1 publications · 11 citations
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SEN · 1 publications · 43 citations
1
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Repository · 1 publications · 41 citations
1
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1 publications · 105 citations
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