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PassREfinder: Credential Stuffing Risk Prediction by Representing Password Reuse - 2024

IEEE via YouTube

Overview

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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

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