CS 592: Security Practicum (Spring 2009)

CS 592: Computer Security Practicum

This course is an advanced research practicum course. Students will select and implement projects from on-going research in web-based proof-of-work and cheating in on-line games.

About the course:

Instructor: Wu-chang Feng (wuchang at cs dot pdx dot edu)
Location and time: FAB 150, Fridays, 1:00pm-3:40pm
Office hours: After class
Office location: Fourth Avenue Building Suite 120-14 (map)
Web site: http://www.thefengs.com/wuchang/work/courses/cs592
Course e-mail list: http://groups.yahoo.com/group/pdx-cs592
Course e-mail: pdx-cs592 at yahoogroups dot com

Projects

kaPoW (web page | related paper | lecture slides)

Pixel auction using computational currency

Geographic-based delivery of kaPoW puzzles for on-line ticket purchasing

IP reputation based delivery of kaPoW puizzles for webmail and guestbooks

kaPoW-protection for other web applications (more...)

Fides (related paper | lecture slides)

Coarse memory profiling for on-line games (more...)
Fine-grained memory profiling for on-line games (more...)

Tentative course schedule:

Week #1 (4/3)

Introduction to kaPoW and Fides
Project selection

Week #2 (4/10) slides

kaPoW and Fides source code

Week #3 (4/17)
Week #4 (4/24)

Student code walkthroughs and/or presentations

Week #5 (5/1) NO CLASS
Week #6 (5/8)
Week #7 (5/15)

Student code walkthroughs and/or presentations

Week #8 (5/22)
Week #9 (5/29)
Week #10 (6/5)
Finals week (6/12)

Final presentation/demo/walkthroughs

Tentative student projects

Pixel auction

Myeon-woo assignments

Geographic-based delivery of kaPoW puzzles

Gurkan (MaxMind's GeoLiteCity) assignments
Kahiro (Geobytes GeoNetMap) assignments

kaPoW-protection for other web applications

Alex (Web-based mailing lists) assignments
Assane assignments

IP reputation based delivery of kaPoW puzzles

Steve assignments
Michael assignments

Coarse memory profiling of game clients for Fides

Yang
Sutheera
Serdar

Fine-grained memory profiling of game clients for Fides

Sidy

Valentin

Grading

The course grade will be based solely on the project. Grading will be based on weekly updates, source code walkthroughs, and presentations on experimental results.