Coverage-based Greybox Fuzzing as Markov Chain

Coverage-based Greybox Fuzzing as Markov Chain

Explore a groundbreaking presentation from the 23rd ACM Conference on Computer and Communications Security (CCS 2016) that delves into coverage-based greybox fuzzing as a Markov chain. Delivered by researchers Marcel Boehme, Van-Thuan Pham, and Abhik Roychoudhury from the National University of Singapore, this 26-minute talk introduces a novel approach to software testing and security analysis. Gain insights into how the authors model the fuzzing process as a Markov chain, potentially revolutionizing the efficiency and effectiveness of vulnerability detection in complex software systems. Understand the implications of this research for improving cybersecurity practices and automated testing methodologies.