Coverage-based Greybox Fuzzing as Markov Chain
Association for Computing Machinery (ACM) via YouTube
Learn Generative AI, Prompt Engineering, and LLMs for Free
The Fastest Way to Become a Backend Developer Online
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
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.
Syllabus
CCS 2016 - Coverage-based Greybox Fuzzing as Markov Chain
Taught by
ACM CCS