Paper Title Number 1
Published in Journal 1, 2009
CV
Education
- B.Eng. in Information Security, Beijing University of Posts and Telecommunications, 2009
- M.Sc. in Computer Architecture, Peking University, 2012
- Ph.D. in Computer Science, University of California, Riverside, 2020 (expected)
Work experience
- Summer 2019: Research Intern, Samsung Research America
- Exploring statefulness of mobile Trusted Applications and their control flow dependance using Symbolic Execution technique. Automated bug finding.
- Summer 2018: Research Intern, International Computer Science Institute (ICSI) at Berkeley
- Offloading network protocol identification from Bro to programmable NIC. Prototype implemented in Zeek (formerly known as Bro).
- March 2015 - June 2015: Data Analyst, Maxent, Inc.
- Analyzing tera-scale user data of mobile customers
- Building and maintaining data warehouse on HDFS+Hive+Spark
- July 2012 - May 2014: Advanced Software Development Engineer in Test, NetEase, Inc.
- Developed automatic source code analysis platform, which performs static code analysis on multiple projects concurrently and automatically
- Developed real-time code coverage testing tool, which traces the code execution of both server-side and client-side, then presents the executions of code lines in real time
- Designed and conducted automatic tests and stress tests for MMORPG (Massively Multiplayer Online Role Playing Game) with 10000+ concurrent players
- Summer 2011: Technology & Data Intern, Morgan Stanley
- Developed a backend module for equity trading system, which executes post-trade position verification using finite state machines
- November 2008 – May 2009: Research Intern, Microsoft Research Asia
- Devised a distributed key-value retrieval algorithm using MapReduce and B+ Tree
- Designed and implemented a ranking algorithm based on distributed random walk using MapReduce on a cluster of hundreds of machines
- Devised algorithms to measure similarity between search queries
Skills
- Symbolic Execution (S2E, angr)
- Static Program Analysis (LLVM)
- Reverse Engineering (IDA Pro, Ghidra)
- Network Protocol Analysis
- Programming
- Python
- C/C++
Publications
Paper Title Number 2
Published in Journal 1, 2010
A CA-based scheme of user authentication over Content-Centric Networking
Kai Lei and Zhongjie Wang
Published in 7th International Conference on Computer Science & Education (ICCSE), 2012
Paper Title Number 3
Published in Journal 1, 2015
Off-Path TCP Exploits: Global Rate Limit Considered Dangerous
Yue Cao, Zhiyun Qian, Zhongjie Wang, Tuan Dao, Srikanth V. Krishnamurthy, and Lisa M. Marvel
Published in 25th USENIX Security Symposium, 2016
Investigation of the 2016 Linux TCP Stack Vulnerability at Scale
Alan Quach*, Zhongjie Wang*, and Zhiyun Qian (*co-first author)
Published in ACM SIGMETRICS 2017, 2017
Your State is Not Mine: A Closer Look at Evading Stateful Internet Censorship
Zhongjie Wang, Yue Cao, Zhiyun Qian, Chengyu Song, and Srikanth V. Krishnamurthy
Published in ACM Internet Measurement Conference (IMC) 2017, 2017
Off-Path TCP Exploits of the Challenge ACK Global Rate Limit
Yue Cao, Zhiyun Qian, Zhongjie Wang, Tuan Dao, Srikanth V. Krishnamurthy, and Lisa M. Marvel
Published in IEEE/ACM Transactions on Networking, 2018
ShadowBlock: A Lightweight and Stealthy Adblocking Browser
Shitong Zhu, Umar Iqbal, Zhongjie Wang, Zhiyun Qian, Zubair Shafiq, and Weiteng Chen
Published in The Web Conference (formerly WWW conference) 2019, 2019
Principled Unearthing of TCP Side Channel Vulnerabilities
Yue Cao, Zhongjie Wang, Zhiyun Qian, Chengyu Song, Srikanth V. Krishnamurthy, and Paul Yu
Published in 26th ACM Conference on Computer and Communications Security (CCS), 2019
SymTCP: Eluding Stateful Deep Packet Inspection with Automated Discrepancy Discovery
Zhongjie Wang, Shitong Zhu, Yue Cao, Zhiyun Qian, Chengyu Song, Srikanth V. Krishnamurthy, Kevin S. Chan, and Tracy D. Braun
Published in Network & Distributed System Security Symposium (NDSS) 2020, 2020
Characterizing Transnational Internet Performance and the Great Bottleneck of China
Pengxiong Zhu, Keyu Man, Zhongjie Wang, Zhiyun Qian, Roya Ensafi, J. Alex Halderman, and Haixin Duan
Published in ACM SIGMETRICS 2020, 2020
You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning
Shitong Zhu, Shasha Li, Zhongjie Wang, Xun Chen, Zhiyun Qian, Srikanth V. Krishnamurthy, Kevin S. Chan, Ananthram Swami
Published in ACM CoNEXT 2020, 2020
Themis: Ambiguity-Aware Network Intrusion Detection based on Symbolic Model Comparison
Zhongjie Wang, Shitong Zhu, Keyu Man, Pengxiong Zhu, Yu Hao, Zhiyun Qian, Srikanth V. Krishnamurthy, Tom La Porta, Michael J. De Lucia
Published in 28th ACM Conference on Computer and Communications Security (CCS), 2021
Eluding ML-based Adblockers With Actionable Adversarial Examples
Shitong Zhu, Zhongjie Wang, Xun Chen, Shasha Li, Keyu Man, Umar Iqbal, Zhiyun Qian, Kevin Chan, Srikanth V. Krishnamurthy, Zubair Shafiq, Yu Hao, Guoren Li, Zheng Zhang, Xiaochen Zou
Published in 37th Annual Computer Security Applications Conference (ACSAC), 2021
Talks
Talk 1 on Relevant Topic in Your Field
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial 1 on Relevant Topic in Your Field
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk 2 on Relevant Topic in Your Field
Talk at London School of Testing, London, UK
Conference Proceeding talk 3 on Relevant Topic in Your Field
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
For a PDF version, click here.