Secrets Detection In Source Code
Secrets Detection in Source Code is a security analysis method that identifies embedded sensitive information, such as credentials or cryptographic keys, within source code by distinguishing them from non-sensitive data through syntactic, lexical, or pattern-based heuristics.
5
Publications
244
Citations
20
Authors
13
Institutions
Publications per year
2017–2026
4
Parents
5
Detecting and Mitigating Secret-Key Leaks in Source Code Repositories
Vibha Singhal Sinha, Diptikalyan Saha, Pankaj Dhoolia et al. · 2015 · 40 citations
Secrets in Source Code: Reducing False Positives using Machine Learning
Aakanksha Saha, Tamara Denning, Vivek Srikumar et al. · 2020 · 37 citations
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1–5 of 20
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Laboratoire de Mathématiques Blaise Pascal
Aubière, France
1 h-index
1 publications
37 citations
Cisco Systems (United States)
San Jose, United States
1 h-index
1 publications
93 citations
Laboratoire de Mathématiques de Versailles
Versailles, France
1 h-index
1 publications
37 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
37 citations
North Carolina State University
Raleigh, United States
1 h-index
3 publications
279 citations
CryptoExperts (France)
Paris, France
1 h-index
3 publications
111 citations
Université de Versailles Saint-Quentin-en-Yvelines
Versailles, France
1 h-index
1 publications
37 citations
Université Paris-Saclay
Gif-sur-Yvette, France
1 h-index
1 publications
37 citations
1–8 of 13
1 publications · 37 citations
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Conference · 1 publications · 37 citations
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Conference · 1 publications · 12 citations
1 publications · 23 citations
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