PhD student in Computer Science
I am a third-year computer science PhD student at Northeastern University, advised by David Choffnes. I have a broad interest in understanding the Internet and improving the user experience. Recently, I have been working on identifying traffic differentiation, how network traffic are classified and possible ways to avoid being classified.
Before joining Northeastern, I received my M.S. in Computer Engineering at Duke University (Let's go Blue Devils!) , and spent four amazing years completing my B.S. in Electronic Engineering at UESTC, ChengDu, China.
- Classifiers Unclassified
- In this work, we develop a general approach for identifying classification rules (i.e., the network provider's "educated guesses") that map network traffic to applications. Specifically, we use an efficient binary search and carefully-generated network flows to minimize the number of testes needed to reverse engineer the rules. We also characterize the classification rules for HTTP(S) traffic implemented in today's carrier-grade middleboxes and identify examples of misclassification (traffic from application A being labeled mistakenly as application B). In summary, our analysis shows that different vendors use different matching rules, but all generally focus on a small number of fields inside HTTP/S traffic. used binary search and carefully-generated flows to eliminate the number of tests to run for reverse-engineering the rules.
- lib.erate,(n): A library for exposing (traffic-classification) rules and avoiding them efficiently, PDF (coming soon)
Fangfan Li, Abbas Razaghpanah, Arash Molavi Kakhki, Arian Akhavan Niaki, David Choffnes, Phillipa Gill, Alan Mislove. In Proceedings of the 17th ACM Internet Measurement Conference (IMC'17), London, UK, November 2017.
- Classifiers Unclassified: An Efficient Approach to Revealing IP Traffic Classification Rules, PDF
Fangfan Li, Arash Molavi Kakhki, David Choffnes, Phillipa Gill, Alan Mislove. In Proceedings of the 16th ACM Internet Measurement Conference (IMC'16), Santa Monica, CA, November 2016.
- Binge On Under the Microscope: Understanding T-Mobile’s Zero-Rating Implementation, PDF
Arash Molavi Kakhki, Fangfan Li, David Choffnes, Alan Mislove, Ethan Katz-Bassett. In Proceedings of SIGCOMM Internet-QoE Workshop, August 2016.
Email: firstname.lastname@example.org. If you are on campus, you can probably find me in the office ISEC 4th floor.