Research

You can also find my articles on Google Scholar.

Conference Publications

  1. Zhuobin Yuan, Rui Dai, and Junjie Zhang, “Bandwidth-Efficient Multi-View 3D Reconstruction via Fine-Grained Region Selection,” IEEE National Aerospace and Electronics Conference (NAECON), Aug. 2026.

  2. Erwin Vargas-Alfonso, Rui Dai, and Junjie Zhang, “OLEC: Online-Learning-Based Error Concealment for Robust Point Cloud Streaming,” IEEE National Aerospace and Electronics Conference (NAECON), Aug. 2026.

  3. Apoorva Nandigam, Rui Dai, and Junjie Zhang, “Efficient Point Cloud Streaming via Curvature and Edge-Aware Sampling and Deep-Learning-Based Reconstruction,” IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2025.

  4. Penyu Zhao, Daniel Chong, Honglu Jiang, Junjie Zhang, and Rui Dai, “FedPDFGuard: A Federated Learning Approach for Robust Detection of Malicious PDF Files,” IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2025.

  5. Jin Huang, Junjie Zhang, Jialun Liu, Chuang Li, and Rui Dai, “UQuery: Static Security Analysis of PHP-Based Web Programs Using Graph Models,” IEEE Conference on Communications and Network Security (CNS), Oct. 2024.

  6. Nathaniel Christian Boland, Junjie Zhang, Daniel Chong, and Rui Dai, “An Empirical Study of Software Sanitization Locality,” IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2024.

  7. James MacLennan and Junjie Zhang, “Path-Safe: Enabling Dynamic Mandatory Access Controls Using Security Tokens,” IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2024.

  8. Al Amin Hossain, Mithun Kumar PK, Junjie Zhang, and Fathi Amsaad, “Malicious Code Detection Using LLM,” IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2024.

  9. Zhuobin Yuan, Ademola Ikusan, Rui Dai, and Junjie Zhang, “No-Reference Image Quality Assessment for Intelligent Sensing Applications,” IEEE National Aerospace and Electronics Conference (NAECON), Jul. 2024.

  10. David Elmo, George Fragkos, Jay Johnson, Kenneth Rohde, Sean Salinas, and Junjie Zhang, “Disrupting EV Charging Sessions and Gaining Remote Code Execution with DoS, MITM, and Code Injection Exploits using OCPP 1.6,” Resilience Week (RWS), Nov. 2023.

  11. Daniel Grahn, Lingwei Chen, and Junjie Zhang, “Code Execution Capability as a Metric for Machine Learning-Assisted Software Vulnerability Detection Models,” 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Nov. 2023.

  12. Daniel Chong, Junjie Zhang, Nathaniel Boland, and Lingwei Chen, “Automatically Inferring Image Base Addresses of ARM32 Binaries Using Architecture Features,” 12th International Symposium on Security and Privacy on Internet of Things (SPIoT), Nov. 2023.

  13. Jian Qu, Xiaobo Ma, Jianfeng Li, Xiapu Luo, Lei Xue, Junjie Zhang, Zhenhua Li, Li Feng, and Xiaohong Guan, “An Input-Agnostic Hierarchical Deep Learning Framework for Traffic Fingerprinting,” 32nd USENIX Security Symposium (USENIX Security), Aug. 2023.

  14. Daniel Grahn and Junjie Zhang, “An Analysis of C/C++ Datasets for Machine Learning-Assisted Software Vulnerability Detection,” Conference on Applied Machine Learning for Information Security (CAMLIS), Nov. 2021.

  15. Jin Huang, Junjie Zhang, Jialun Liu, Chuang Li, and Rui Dai, “UFuzzer: Lightweight Detection of PHP-Based Unrestricted File Upload Vulnerabilities Via Static-Fuzzing Co-Analysis,” 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Oct. 2021.

  16. Xiaobo Ma, Mawei Shi, Bingyu An, Jianfeng Li, Xiapu Luo, Junjie Zhang, and Xiaohong Guan, “Context-aware Website Fingerprinting over Encrypted Proxies,” IEEE Conference on Computer Communications (INFOCOM), May 2021.

  17. Jin Huang, Yu Li, Junjie Zhang, and Rui Dai, “UChecker: Automatically Detecting PHP-Based Unrestricted File Upload Vulnerabilities,” 49th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Portland, Oregon, USA, Jun. 2019.

  18. Yu Li, Ivan Frasure, Ademola Ayodeji Ikusan, Junjie Zhang, and Rui Dai, “Vulnerability Assessment for Unmanned Systems Autonomy Services Architecture,” 12th International Conference on Network and System Security (NSS), Hong Kong, China, Aug. 2018.

  19. Soham Kelkar, Timothy Kraus, Daria Morgan, Junjie Zhang, and Rui Dai, “Analyzing HTTP-Based Information Exfiltration of Malicious Android Applications,” IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2018.

  20. Yu Li, Dae Wook Kim, Junjie Zhang, and Derek Doran, “Detecting Suspicious Members in An Online Emotional Support Service,” International Conference on Security and Privacy in Communication Networks (SecureComm), 2018.

  21. Jianfeng Li, Xiaobo Ma, Guodong Li, Xiapu Luo, Junjie Zhang, Wei Li, and Xiaohong Guan, “Can We Learn What People Are Doing from RAW DNS Queries?” IEEE Conference on Computer Communications (INFOCOM), 2018.

  22. Mingxuan Sun, Guangyue Xu, Junjie Zhang, and Dae Wook Kim, “Tracking You Through DNS Traffic: Linking User Sessions By Clustering With Dirichlet Mixture Model,” ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Nov. 2017.

  23. Kevon Scott, Rui Dai, and Junjie Zhang, “Online-Relaying-Based Image Communication in Unmanned Aerial Vehicle Networks,” IEEE International Conference on Communications (ICC), May 2017.

  24. Dae Wook Kim and Junjie Zhang, “You Are How You Query: Deriving Behavioral Fingerprints From DNS Traffic,” 11th International Conference on Security and Privacy in Communication Networks (SecureComm), Dallas, USA, 2015.

  25. Xiaotian Wang, Matthew Davis, Junjie Zhang, and Vance Saunders, “Mission-Aware Vulnerability Assessment for Cyber-Physical Systems,” 1st IEEE International Workshop on Trustworthy Software Systems (TrustSoft), Helsinki, Finland, 2015.

  26. Jianfeng Li, Jing Tao, Xiaobo Ma, Junjie Zhang, and Xiaohong Guan, “Modeling Repeating Behaviors in Packet Arrivals: Detection and Measurement,” IEEE Conference on Computer Communications (INFOCOM), Hong Kong, China, 2015.

  27. Yu Li, Rui Dai, and Junjie Zhang, “Morphing Communications of Cyber-Physical Systems Towards Moving Target Defense,” IEEE International Conference on Communications (ICC), Jun. 2014.

  28. Junjie Zhang, Yinglian Xie, Fang Yu, David Soukal, and Wenke Lee, “Intention and Origination: An Inside Look at Large-Scale Bot Queries,” 20th Annual Network and Distributed System Security Symposium (NDSS), San Diego, USA, 2013.

  29. Liting Hu, Karsten Schwan, Ajay Gulati, Junjie Zhang, and Chengwei Wang, “Net-Cohort: Detecting and Managing VM Ensembles in Virtualized Data Centers,” 9th International Conference on Autonomic Computing (ICAC), San Jose, USA, 2012.

  30. Xiapu Luo, Peng Zhou, Junjie Zhang, Roberto Perdisci, Wenke Lee, and Rocky KC Chang, “Exposing invisible timing-based traffic watermarks with BACKLIT,” 27th Annual Computer Security Applications Conference (ACSAC), Orlando, USA, 2011.

  31. Junjie Zhang, Roberto Perdisci, Wenke Lee, Unum Sarfraz, and Xiapu Luo, “Detecting Stealthy P2P Botnets Using Statistical Traffic Fingerprints,” 41st IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Hong Kong, China, 2011.

  32. Junjie Zhang, Christian Seifert, Jack W. Stokes, and Wenke Lee, “ARROW: Generating Signatures to Detect Drive-By Downloads,” 20th International Conference on World Wide Web (WWW), Hyderabad, India, 2011.

  33. Junjie Zhang, Xiapu Luo, Roberto Perdisci, Guofei Gu, Wenke Lee, and Nick Feamster, “Boosting the Scalability of Botnet Detection using Adaptive Traffic Sampling,” 6th ACM Symposium on Information, Computer and Communications Security (ASIACCS), Hong Kong, China, 2011.

  34. Xiapu Luo, Junjie Zhang, Roberto Perdisci, and Wenke Lee, “On the Secrecy of Spread-Spectrum Flow Watermarks,” 15th European Symposium on Research in Computer Security (ESORICS), Athens, Greece, 2010.

  35. Guofei Gu, Roberto Perdisci, Junjie Zhang, and Wenke Lee, “BotMiner: Clustering Analysis of Network Traffic for Protocol- and Structure-Independent Botnet Detection,” 17th USENIX Security Symposium (USENIX Security), San Jose, CA, 2008.

  36. Guofei Gu, Junjie Zhang, and Wenke Lee, “BotSniffer: Detecting Botnet Command and Control Channels in Network Traffic,” 15th Annual Network and Distributed System Security Symposium (NDSS), San Diego, CA, Feb. 2008.

Journal Publications

  1. Hootan Alavizadeh, Lingwei Chen, and Junjie Zhang, “Reparameterizing Adversarial Reprogramming in Low-Dimensional Subspace for Efficient Software Vulnerability Detection,” Journal of Information Security and Applications, vol. 99, Art. no. 104443, Jun. 2026.

  2. Daniel Grahn, Lingwei Chen, and Junjie Zhang, “Vul-Mixer: Efficient and Effective Machine Learning–Assisted Software Vulnerability Detection,” Electronics, vol. 13, no. 13, Art. no. 2538, Jul. 2024.

  3. Xiaobo Ma, Jian Qu, Mawei Shi, Bingyu An, Jianfeng Li, Xiapu Luo, Junjie Zhang, Zhenhua Li, and Xiaohong Guan, “Website Fingerprinting on Encrypted Proxies: A Flow-Context-Aware Approach and Countermeasures,” IEEE/ACM Transactions on Networking, vol. 32, no. 3, pp. 1904–1919, Jun. 2024.

  4. Mahendra Suthar, Rui Dai, Junjie Zhang, Sasu Tarkoma, and Ian F. Akyildiz, “Multi-Codec Rate Adaptive Point Cloud Streaming for Holographic Type Communication,” ITU Journal on Future and Evolving Technologies, vol. 4, no. 4, pp. 590–603, Nov. 2023.

  5. Yadong Zhou, Bowen Hu, Junjie Zhang, Liyuan Sun, Xingyu Zhu, and Ting Liu, “Detecting Suspicious Transactions in A Virtual-Currency-Enabled Online Social Network,” Journal of Network and Computer Applications, vol. 211, Art. no. 103555, Feb. 2023.

  6. Yu Li, Jin Huang, Ademola Ikusan, Milliken Mitchell, Junjie Zhang, and Rui Dai, “ShellBreaker: Automatically Detecting PHP-Based Malicious Web Shells,” Computers & Security, vol. 87, Art. no. 101595, Nov. 2019.

  7. Derek Doran, Luisa Massari, Maria Carla Calzarossa, Yu Li, Daniele Tessera, and Junjie Zhang, “User Interactions and Behaviors in A Large-Scale Online Emotional Support Service,” Social Network Analysis and Mining, vol. 9, Art. no. 36, Jul. 2019.

  8. Yuan Yang, Zhongmin Cai, Chunyan Wang, and Junjie Zhang, “Probabilistically Inferring Attack Ramifications Using Temporal Dependence Network,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 11, pp. 2913–2928, Nov. 2018.

  9. Yu Li, Xiaotian Wang, Dae Wook Kim, Junjie Zhang, and Rui Dai, “Designing self-destructing wireless sensors with security and performance assurance,” Computer Networks, vol. 141, pp. 44–56, Aug. 2018.

  10. Yadong Zhou, Ximi Wang, Junjie Zhang, Peng Zhang, Lili Liu, Huan Jin, and Hongbo Jin, “Analyzing and Detecting Money-Laundering Accounts in Online Social Networks,” IEEE Network, vol. 32, no. 3, pp. 115–121, May 2018.

  11. Yadong Zhou, Kaiyue Chen, Junjie Zhang, Junyuan Leng, and Yazhe Tang, “Exploiting the Vulnerability of Flow Table Overflow in Software-Defined Network: Attack Model, Evaluation and Defense,” Security and Communication Networks, vol. 2018, Art. no. 4760632, Jan. 2018.

  12. Dae Wook Kim and Junjie Zhang, “Deriving and Measuring DNS-Based Fingerprints,” Journal of Information Security and Applications, vol. 36, pp. 32–42, Oct. 2017.

  13. Jianfeng Li, Xiaobo Ma, Junjie Zhang, Jing Tao, Pinghui Wang, and Xiaohong Guan, “Mining Repeating Pattern in Packet Arrivals: Metrics, Models, and Applications,” Information Sciences, vol. 408, pp. 1–22, Oct. 2017.

  14. Yadong Zhou, Dae Wook Kim, Junjie Zhang, Lili Liu, Huan Jin, Hongbo Jin, and Ting Liu, “ProGuard: Detecting Malicious Accounts in Social-Network-Based Online Promotions,” IEEE Access, vol. 5, pp. 1990–1999, Jan. 2017 (Special Issue on Trust Management in Pervasive Social Networking (TruPSN)).

  15. Dae Wook Kim, Peiying Yan, and Junjie Zhang, “Detecting Fake Anti-Virus Software Distribution Webpages,” Computers & Security, vol. 49, pp. 95–106, Mar. 2015.

  16. Xiaobo Ma, Junjie Zhang, Zhenhua Li, Jianfeng Li, Jing Tao, Xiaohong Guan, John C. S. Lui, and Don Towsley, “Accurate DNS Query Characteristics Estimation via Active Probing,” Journal of Network and Computer Applications, vol. 47, pp. 72–84, Jan. 2015.

  17. Xiaobo Ma, Junjie Zhang, Jing Tao, Jianfeng Li, Jue Tian, and Xiaohong Guan, “DNSRadar: Outsourcing Malicious Domain Detection Based on Distributed Cache-Footprints,” IEEE Transactions on Information Forensics and Security, vol. 9, no. 11, pp. 1906–1921, Nov. 2014.

  18. Junjie Zhang, Roberto Perdisci, Wenke Lee, Xiapu Luo, and Unum Sarfraz, “Building a Scalable System for Stealthy P2P-Botnet Detection,” IEEE Transactions on Information Forensics and Security, vol. 9, no. 1, pp. 27–38, Jan. 2014.