Zhou Li is a Principal Research Scientist at RSA Labs. He works on research that can make security applications, like authentication system, endpoint monitor and enterprise SIEM, better against sophisticated cyber-attacks. His research areas also cover investigation into the emerging cyber-crime/-fraud, side-channel attacks and NLP-driven security.
Before joining RSA Labs, Zhou completed Ph.D. in Computer Science in Indiana University Bloomington in 2014. His advisor was Dr. XiaoFeng Wang. In 2011, he spent three months in Microsoft Research Silicon Valley as a research intern, mentored by Dr. Yinglian Xie and Dr. Fang Yu. Back in China, he got Master and Bachelor of Computer Science in Wuhan University.
My profiles at Google Scholar, DBLP, ResearchGate and LinkedIn.
- Jun. 2018: Paper about residential proxy accepted by IEEE S&P'19.
- Jun. 2018: Zhou will serve the program committee of NDSS 2019. Please consider submitting your works.
- May 2018: Paper about DNS security conditionally accepted by Usenix Security 2018.
- Apr. 2018: Two papers accepted by SecureComm 2018.
- Apr. 2018: Zhou will serve the program committee of IEEE DSC 2018. Please consider submitting your works.
- Apr. 2018: Paper about privacy of mobile IME accepted by Journal of Computer Security.
- Mar. 2018: Paper about Internationalized Domain Names accepted by DSN 2018.
- Feb. 2018: Zhou will serve the program committee of ACM CCS 2018. Please consider submitting your works.
- Feb. 2018: Zhou will serve the program committee of IWSEC 2018. Please consider submitting your works.
- Jan. 2018: Work about mobile payment vulnerability accepted by Blackhat Asia 2018! Zhe Zhou will present our work. Stay tuned.
- Dec. 2017: Zhou will serve the program committee of SecDev 2018, hosted in the beautiful Boston metropolitan area. Please submit your works/ideas about developing secured systems.
Selected Recent Publications (3):
- [CCS'17] Daiping Liu, Zhou Li*, Kun Du, Haining Wang, Baojun Liu, and Haixin Duan.
Don't Let One Rotten Apple Spoil the Whole Barrel: Towards Automated Detection of Shadowed Domains.
In Proceedings of the 24th ACM Conference on Computer and Communications Security, Dallas, TX, Oct. 2017.
- [Security'17] Xiaolong Bai, Zhe Zhou, XiaoFeng Wang, Zhou Li*, Xianghang Mi, Nan Zhang, Tongxin Li, Shi-Min Hu and Kehuan Zhang.
Picking Up My Tab: Understanding and Mitigating Synchronized Token Lifting and Spending in Mobile Payment.
In Proceedings of the 26th USENIX Security Symposium, Vancouver, BC, Canada, Aug 2017.
- [S&P'17] Hao Yang, Xiulin Ma, Kun Du, Zhou Li*, Haixin Duan, Xiaodong Su, Guang Liu and Zhifeng Geng.
How to Learn Klingon Without a Dictionary: Detection and Measurement of Black Keywords Used by the Underground Economy.
In Proceedings of the 38th IEEE Symposium on Security and Privacy, San Jose, CA, May 2017.
Photo copyright: my dad