PassREfinder: Credential Stuffing Risk Prediction by Representing Password Reuse - 2024
Offered By: IEEE via YouTube
Course Description
Overview
Explore a cutting-edge conference talk on credential stuffing risk prediction through password reuse representation. Delve into the innovative PassREfinder approach presented by Jaehan Kim, which aims to enhance cybersecurity measures against credential stuffing attacks. Learn about the latest techniques in password analysis and risk assessment, gaining valuable insights into protecting user accounts and sensitive information from unauthorized access. Discover how this research contributes to the ongoing efforts in improving online security and safeguarding digital identities.
Syllabus
2024 158 Jaehan Kim PassREfinder Credential Stuffing Risk Prediction by Representing Password Reuse
Taught by
IEEE Symposium on Security and Privacy
Tags
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent