Research output per year
Research output per year
Personal profile
About
I am an Assistant Professor in the Department of Computer Science at Wright State University. I received my Ph.D. degree in Computer Science from Georgia Institute of Technology in 2012, and my M.S. in Systems Engineering and B.S. in Computer Science from Xi'an Jiaotong University, China, in 2006 and 2003, respectively.
My research focuses primarily on network security. In particular, I am interested in building automated, effective, and scalable systems for security purposes. My current research focuses on Internet malware analysis, detection, and mitigation.
Related documents
Education/Academic qualification
Computer Science, Ph.D., Georgia Institute of Technology
… → 2012
Systems Engineering, M.S., Xi’an Jiaotong University
… → 2006
Computer Science, B.S., Xi’an Jiaotong University
… → 2003
Research Interests
- Network Security
- Internet Malware Analysis, Detection, and Mitigation
Disciplines
- Engineering
- Computer Engineering
- Physical Sciences and Mathematics
- Computer Sciences
- Information Security
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Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features
Chong, D., Zhang, J., Boland, N. & Chen, L., 2024, Ubiquitous Security - 3rd International Conference, UbiSec 2023, Revised Selected Papers. Wang, G., Wang, H., Min, G., Georgalas, N. & Meng, W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 450-461 12 p. (Communications in Computer and Information Science; vol. 2034 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Vul-Mixer: Efficient and Effective Machine Learning–Assisted Software Vulnerability Detection
Grahn, D., Chen, L. & Zhang, J., Jul 2024, In: Electronics (Switzerland). 13, 13, 2538.Research output: Contribution to journal › Article › peer-review
Open Access -
Website Fingerprinting on Encrypted Proxies: A Flow-Context-Aware Approach and Countermeasures
Ma, X., Qu, J., Shi, M., An, B., Li, J., Luo, X., Zhang, J., Li, Z. & Guan, X., Jun 1 2024, In: IEEE/ACM Transactions on Networking. 32, 3, p. 1904-1919 16 p.Research output: Contribution to journal › Article › peer-review
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An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting
Qu, J., Ma, X., Li, J., Luo, X., Xue, L., Zhang, J., Li, Z., Feng, L. & Guan, X., 2023, 32nd USENIX Security Symposium, USENIX Security 2023. USENIX Association, p. 589-606 18 p. (32nd USENIX Security Symposium, USENIX Security 2023; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models
Grahn, D., Chen, L. & Zhang, J., 2023, Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023. Hu, J., Min, G. & Wang, G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1606-1613 8 p. (Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Prizes
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Robert J. Kegerreis Distinguished Professor of Teaching, 2024-25
Zhang, J. (Recipient), 2024
Prize: Prize (including medals and awards)