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.

CCS 2016 - Coverage-based Greybox Fuzzing as Markov Chain