Random Fuzzing
Random Fuzzing is a fuzz testing method that generates test inputs by applying purely random modifications to input data, without leveraging program-specific knowledge or feedback to guide the generation process.
36
Publications
3.5K
Citations
130
Authors
45
Institutions
Publications per year
2017–2026
20
Variants
Random Fuzz Testing
Parents
36
Coverage-based Greybox Fuzzing as Markov Chain
Marcel Böhme, Van-Thuan Pham, Abhik Roychoudhury · 2016 · 619 citations
Angora: Efficient Fuzzing by Principled Search
Christian Holler, Kim Herzig, Andreas Zeller · 2012 · 232 citations
1–5 of 36
130
Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina
3 publications · 197 citations
3
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 130
45

Consejo Nacional de Investigaciones Científicas y Técnicas
Buenos Aires, Argentina
3 h-index
5 publications
241 citations
University of Utah
Salt Lake City, United States
3 h-index
8 publications
766 citations
National University of Singapore
Singapore, Singapore
3 h-index
10 publications
3K citations
Oregon State University
Corvallis, United States
2 h-index
8 publications
688 citations
Helmholtz Center for Information Security
Saarbrücken, Germany
2 h-index
14 publications
584 citations

Imperial College London
London, United Kingdom
2 h-index
6 publications
633 citations

University of Central Florida
Orlando, United States
2 h-index
8 publications
392 citations
University College London
London, United Kingdom
2 h-index
2 publications
211 citations
1–8 of 45
3 publications · 102 citations
3
h-index
TSE · 2 publications · 352 citations
2
h-index
Repository · 2 publications · 32 citations
2
h-index
2 publications · 67 citations
2
h-index
PACMPL · 1 publications · 125 citations
1
h-index
1–5