Project Info
Web Security Measurement and Analysis
Chuan Yue
chuanyue@mines.edu
Project Goals and Description:
A variety of web-based attacks such as phishing, cross-site scripting, and drive-by download
have been continuously causing severe damages to users and organizations for over two decades.
It is very challenging to effectively defend against them especially because they continuously
evolve and adapt to the countermeasures. In this project, we design systems, algorithms,
and user studies to measure and analyze new security risks on the web.
More Information:
Grand Challenge: Secure cyberspace.
[1] Mengxia Ren and Chuan Yue, “Coverage and Secure Use Analysis of Content Security Policies via Clustering”, to appear in Proceedings of the IEEE European Symposium on Security and Privacy (EuroS&P), 2023.
[2] Weiping Pei and Chuan Yue, “Generating Content-Preserving and Semantics-Flipping Adversarial Text”, in Proceedings of the ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2022.
[3] Weiping Pei, Arthur Mayer, Kaylynn Tu, and Chuan Yue, “Attention Please: Your Attention Check Questions in Survey Studies Can Be Automatically Answered”, in Proceedings of the Web Conference (formerly known as the WWW Conference), 2020.
Please contact Dr. Chuan Yue (chuanyue@mines.edu) for more publications and resources.
Primary Contacts:
Dr. Chuan Yue (chuanyue@mines.edu) and his PhD students (TBD).
Student Preparation
Qualifications
Students who major in Computer Science, already took 200-level CS courses, familiar with Web programming techniques.
TIME COMMITMENT (HRS/WK)
4~5 hours per week.
SKILLS/TECHNIQUES GAINED
Research methodology; system design principles and skills; research paper reading, presentation, and writing; communication.
MENTORING PLAN
1. Weekly project meeting.
2. Highly level guidance on research direction and methodology.
3. Teamwork with PhD and master students.
PREFERRED STUDENT STATUS
Sophomore
Junior
Senior