Meng Shen 沈蒙 Professor, Ph.D. Supervisor School of Cyberspace Science and Technology Beijing Institute of Technology Beijing, 100081 P.R. China Office:Room 752, Central Teaching Building, Zhongguancun Campus, BIT Email: shenmeng@bit.edu.cn Google Scholar DBLP

[Biography] [Research Interests] [Publications] [Awards] [Grants] [Services]

Biography

I am currently a Professor at School of Cyberspace Science and Technology, Beijing Institute of Technology (BIT), P. R. China. I received the B.S. degree in computer science and technology and the B.S. in finance from Shandong University in 2009, and the Ph.D. degree from Tsinghua University in 2014. I was a visiting scholar at University of Massachusetts Amherst. More details about full publications can be found in Google Scholar and DBLP.

Opening positions. I am looking for self-motivated Ph.D./master students to join my group, and accept senior undergraduate students to the research group for internship. Please email me ( shenmeng@bit.edu.cn) your CV if you are interested.

Research Interests

• Data Security: Research on data security sharing technology, machine learning data privacy protection mechanism, applied to smart medical, Internet finance and other fields.
• Artificial Intelligence Security: Research on vulnerability analysis and security enhancement technology for AI technologies such as deep learning, federated learning, and applications (e.g., face recognition systems, voice recognition systems).
• Network Encrypted Traffic Analysis: Research on using deep learning techniques to analyze the regularity and characterization information in network traffic (especially encrypted traffic) for applications in network anomaly detection, malicious website identification, cyberspace resource detection, and encrypted video service optimization.
• Blockchain Security: Research on abnormal transaction identification and traceability technology of blockchain digital currencies to guarantee the supervision and security protection of the new decentralized network computing model.

Selected Publications

   Monograph : 

• Meng Shen, Liehuang Zhu, Ke Xu. Blockchain: Empowering Secure Data Sharing. Springer 2020, ISBN 978-981-15-5938-9.

   Selected Papers : 

• Meng Shen, Changyue Li, Qi Li, Hao Lu, Liehuang Zhu, and Ke Xu. Transferability of Whitebox Perturbations: Query-Efficient Adversarial Attacks against Commercial DNN Services. Proceedings of the 33th USENIX Conference on Security Symposium (USENIX Security), 2024. (CCF A) [Code & Dataset]
• Hanbiao Du, Zheng Che, Meng Shen, Liehuang Zhu, and Jiankun Hu. Breaking the Anonymity of Ethereum Mixing Services Using Graph Feature Learning. IEEE Transactions on Information Forensics and Security (TIFS), DOI: 10.1109/TIFS.2023.3326984. (CCF A) [PDF] [Code & Dataset]
• Meng Shen, Jing Wang, Hongyang Du, Dusit Niyato, Xiangyun Tang, Jiawen Kang, Yaoling Ding and Liehuang Zhu. Secure Semantic Communications: Challenges, Approaches, and Opportunities. IEEE Network, DOI: 10.1109/MNET.2023.3327111. [PDF]
• Meng Shen, Kexin Ji, Zhenbo Gao, Qi Li, Liehuang Zhu, and Ke Xu. Subverting Website Fingerprinting Defenses with Robust Traffic Representation. Proceedings of the 32th USENIX Conference on Security Symposium (USENIX Security), 2023. (CCF A) [PDF] [Code & Dataset]
• Meng Shen, Changyue Li, Hao Yu, Qi Li, Liehuang Zhu, and Ke Xu. Decision-based query efficient adversarial attack via adaptive boundary learning. IEEE Transactions on Dependable and Secure Computing (TDSC), 2023. (CCF A) [PDF]
• Xiangyun Tang, Meng Shen, Qi Li, Liehuang Zhu, Tengfei Xue, and Qiang Qu. PILE: Robust Privacy-Preserving Federated Learning via Verifiable Perturbations. IEEE Transactions on Dependable and Secure Computing (TDSC), 2023. (CCF A) [PDF]
• Meng Shen, Aijing Gu, Jiawen Kang, Xiangyun Tang, Xiaodong Lin, Liehuang Zhu and Dusit Niyato. Blockchains for Artificial Intelligence of Things: A Comprehensive Survey. IEEE Internet of Things Journal (IOTJ), 2023. [PDF]
• Meng Shen, Ke Ye, Xingtong Liu, Liehuang Zhu, Jiawen Kang, Shui Yu, Qi Li and Ke Xu. Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive Survey. IEEE Communications Surveys & Tutorials, 25(1): 791-824, 2023. [PDF]
• Meng Shen, Hao Lu, Fei Wang, Huisen Liu and Liehuang Zhu. Secure and Efficient Blockchain-Assisted Authentication for Edge-Integrated Internet-of-Vehicles. IEEE Transactions on Vehicular Technology (TVT), 71(11): 12250-12263, 2022. [PDF]
• Meng Shen, Hao Yu, Liehuang Zhu, Ke Xu, Qi Li and Jiankun Hu. Effective and Robust Physical-World Attacks on Deep Learning Face Recognition Systems. IEEE Transactions on Information Forensics and Security (TIFS), 16: 4063-4077, 2021. (CCF A) [PDF]
• Meng Shen, Jinpeng Zhang, Liehuang Zhu, Ke Xu, and Xiaojiang Du. Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using Graph Neural Networks. IEEE Transactions on Information Forensics and Security (TIFS), 16: 2367-2380, 2021. (CCF A) [PDF]
• Meng Shen, Yiting Liu, Liehuang Zhu, Xiaojiang Du, and Jiankun Hu. Fine-Grained Webpage Fingerprinting Using Only Packet Length Information of Encrypted Traffic. IEEE Transactions on Information Forensics and Security (TIFS), 16: 2046-2059, 2021. (CCF A) [PDF]
• Meng Shen, Yaqian Wei, Zelin Liao and Liehuang Zhu. IriTrack: Face Presentation Attack Detection Using Iris Tracking. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2021, 5(2): 1-21. (CCF A) [PDF]
• Meng Shen, Huan Wang, Bin Zhang, Liehuang Zhu, Ke Xu, Qi Li, Xiaojiang Du. Exploiting Unintended Property Leakage in Blockchain-Assisted Federated Learning for Intelligent Edge Computing. IEEE Internet of Things Journal (IOTJ), 8(4): 2265-2275, 2021. [PDF]
• Meng Shen, Junxian Duan, Liehuang Zhu, Jie Zhang, Xiaojiang Du, Mohsen Guizani. Blockchain-based Incentives for Secure and Collaborative Data Sharing in Multiple Clouds. IEEE Journal on Selected Areas in Communications (JSAC), 38(6): 1229-1241, 2020. (CCF A) [PDF]
• Meng Shen, Huisen Liu, Liehuang Zhu, Ke Xu, Hongbo Yu, Xiaojiang Du, Mohsen Guizani. Blockchain-Assisted Secure Device Authentication for Cross-Domain Industrial IoT. IEEE Journal on Selected Areas in Communications (JSAC), 38(5): 942-954, 2020. (CCF A) [PDF]
• Meng Shen, Jie Zhang, Liehuang Zhu, Ke Xu, Xiangyun Tang. Secure SVM Training over Vertically-Partitioned Datasets using Consortium Blockchain for Vehicular Social Networks. IEEE Transactions on Vehicular Technology (TVT), 69(6): 5773-5783, 2020. [PDF]
• Meng Shen, Xiangyun Tang, Liehuang Zhu, Xiaojiang Du, Mohsen Guizani. Privacy-Preserving Support Vector Machine Training Over Blockchain-Based Encrypted IoT Data in Smart Cities. IEEE Internet of Things Journal (IOTJ), 6(5): 7702-7712, 2019. [PDF]
• Meng Shen, Zelin Liao, Liehuang Zhu, Ke Xu, and Xiaojiang Du. VLA: A Practical Visible Light-based Attack on Face Recognition Systems in Physical World. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 3(3), 103:1-103:19, 2019. (CCF A) [PDF]
• Meng Shen, Baoli Ma, Liehuang Zhu, Rashid Mijumbi, Xiaojiang Du, Jiankun Hu. Cloud-Based Approximate Constrained Shortest Distance Queries Over Encrypted Graphs With Privacy Protection. IEEE Transactions on Information Forensics and Security (TIFS), 13(4): 940-953, 2018. (CCF A) [PDF]
• Meng Shen, Mingwei Wei, Liehuang Zhu, Mingzhong Wang. Classification of Encrypted Traffic With Second-Order Markov Chains and Application Attribute Bigrams. IEEE Transactions on Information Forensics and Security (TIFS), 12(8): 1830-1843, 2017. (CCF A) [PDF]

Selected Awards

• 2021, Best Paper Award, IEEE/ACM IWQoS 2021.
• 2019, The Second Prize, Beijing Science and Technology Progress .
• 2019, Rising Star Award, ACM SICGOMM CHINA.
• 2018, Excellence Award, CCF-Tencent Rhino Fund.
• 2018, Best Paper Award, China Computer Federation Conference on Blockchain (CCF CBCC).

Research Grants

• National Natural Science Foundation of China (Outstanding Youth Foundation), Research on Data Security in an Open Network Environment (62222201), 2023.1-2025.12, Principal Investigator
• National Natural Science Foundation of China (General Program), A New Method for Training Multi-source Data Privacy based on Demand Perception in Machine Learning (61972039),2021.1-2023.12, Principal Investigator
• Beijing Natural Science Foundation (General Program), Searchable Encryption Mechanism for Ensuring the Security of Outsourced Graph Data in Cloud Computing (4192050), 2019.1-2021.12, Principal Investigator
• CCF Huawei Populus euphratica Forest Science and Technology Research Fund, Blockchain based Data Security Trusted Collaborative Computing Technology, 2022.1-2022.12, Principal Investigator
• CCF Tencent Rhinoceros Bird Research Fund, Blockchain based Internet Credit Data Security Sharing Mechanism, 2018.9-2019.10, Principal Investigator

Services

• Membership
  • Member, Technical Committee on Blockchain of China Computer Federation
  • Member, Technical Committee on Internet of China Computer Federation
• Editorship
  • Recent Advances in Security and Privacy for Future Intelligent Networks, IEEE Network
  • Trust-Oriented Designs of Internet of Things for Smart Cities, IEEE IoT Journal
• Technical Program Committee
  • IEEE INFOCOM 2021 TPC
  • IEEE/ACM IWQoS 2016/2019/2020 TPC
  • IEEE ICC 2017/2018 TPC
  • IEEE GLOBECOM 2017/2018/2020 TPC
• Journal Reviewer
  • IEEE Transactions on Information Forensics and Security (TIFS)
  • IEEE Transactions on Dependable and Secure Computing (TDSC)
  • IEEE/ACM Transactions on Networking (TON)
  • IEEE Transactions on Mobile Computing (TMC)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Last updated: 2023-05