Boosting Fuzzer Efficiency: An Information Theoretic Perspective.

This article discusses the concept of fuzzing as a learning process, using Shannon's entropy to quantify the efficiency of a fuzzer in discovering new behaviors of a program. The authors propose an entropy-based power schedule called "Entropic" for greybox fuzzing, assigning more energy to seeds tha...

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Detalles Bibliográficos

Publicado en:	Communications of the ACM Vol. 66; no. 11; pp. 89 - 98
Autores principales:	Böhme, Marcel, Manès, Valentin J. M., Sang Kil Cha
Formato:	Artículo
Publicado:	Association for Computing Machinery Nov2023
Materias:	Entropy (Information theory) Uncertainty (Information theory) Computer software testing Information theory
Acceso en línea:	Ver este registro en EBSCOhost