Recent Publications

Journal Articles

[J11]   J. Li, B. Feng, A. Tian,H. Zheng, K. Moessner, H. Dai, & J. Jin, "Cars: connection as required scheme for horizontal communications in industry 4.0," Digital Communications and Networks, 2025. (Q1) (SJR'24. IF 1.440)

[J10]   J. Li, B. Feng, & H. Zheng, "A survey on VPN: Taxonomy, roles, trends and future directions," Computer Networks, 257, 110964, 2025. (Q1) (SJR'24. IF 1.170)

[J9]    Q. An, F. Jiang, C. Dong, S. Pal, J. Li, A. Neiat, & W. Yeoh, "A blockchain-powered secure architecture for cyber marketplaces of electric vehicles," IEEE Transactions on Industry Applications, 2025. (Q1) (SJR'24. IF 1.626)

[J8]    C. Tong, I. Natgunanathan, Y. Xiang, J. Li, T. Zong, X. Zheng & L. Gao, "Enhancing robustness of speech watermarking using a transformer-based framework exploiting acoustic features," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024. (Q1) (SJR'24. IF 1.061)

[J7]    C. Tong, X. Zheng, J. Li, X. Ma, L. Gao, L., & Y. Xiang. "Query-efficient black-box adversarial attacks on automatic speech recognition," IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31, 3981-3992, 2023 (Q1) (SJR'24. IF 1.061)

[J6]    H. Zheng, J. He, Q. Liu, J. Li, G. Huang, and P. Li, "Multi-objective optimisation based fuzzy association rule mining method," in World Wide Web, pp.1-18, 2022, DOI:10.1007/s11280-022-01073-8.  (Q1) (JCR'21. IF 1.123)

[J5]    B. Feng, A. Tian, S. Yu, J. Li, H. Zhou, and H. Zhang, "Efficient Cache Consistency Management for Transient IoT Data in Content-Centric Networking," in IEEE Internet of Things Journal, pp. 1-14, 2022, DOI: 10.1109/JIOT.2022.3163776.  (Q1) (JCR'20. IF 9.936)

[J4]    J. Li, L. Lyu, X. Liu, X. Zhang, X. Lyu, and J. Jin “FLEAM: A federated learning empowered architecture to mitigate DDoS attacks in the Industrial IoT,” in IEEE Transactions on Industrial Informatics, 2021, DOI: 10.1109/TII.2021.3088938. (Q1) (JCR'20. IF 9.112)

[J3]    J. Li, J. Jin, J. Lyu, D. Yuan, Y. Yang, L. Gao, and C. Shen," A fast and scalable authentication scheme for the Internet of things," in Future Generation Computer Systems, vol. 117, pp. 125-137, Apr. 2021, DOI: 10.1016/j.future.2020.11.006. (Q1) (JCR'20. IF 7.010)

[J2]    Q. Zheng, J. Jin, T. Zhang, J. Li, L. Gao, and Y. Xiang, “Energy-sustainable fog system for mobile web services in infrastructure-less environments,” in IEEE Access, vol. 7, pp. 161318-161328, 2019, DOI: 10.1109/ACCESS.2019.2951162. 

[J1]     J. Li, J. Jin, D. Yuan, and H. Zhang, “Virtual fog: A virtualization enabled fog computing framework for Internet of things,” in IEEE Internet of Things Journal, vol. 5, no. 1, pp. 121-131, Feb. 2018, DOI: 10.1109/JIOT.2017.2774286. (Q1) (JCR'20. IF 9.936)

Conference Papers

[C3]    J. Li, X. Liu, J. Jin, and S. Yu, “Too expensive to attack: Enlarge the attack expense through joint defense at the edge,” in IEEE TRUSTCOM 2021, (CORE20 A)

[C2]   J. Li, T. Zhang, J. Jin, Y. Yang, D. Yuan, and L. Gao, “Latency estimation for fog-based Internet of things,” in Proceedings of International Telecommunication Networks and Applications Conference (ITNAC), pp. 1-6, Melbourne, Australia, Nov. 2017. (30+ citations)

[C1]   J. Li, J. Jin, D. Yuan, M. Palaniswami, and K. Moessner, “EHOPES: Data-centered fog platform for smart living,” in Proceedings of International Telecommunication Networks and Applications Conference (ITNAC), pp. 308-313, Sydney, Australia, Nov. 2015. (107+ citations)

Invited Book Chapters

[B1]    J. Li, J. Jin, D. Yuan, M. Palaniswami, and K. Moessner, “A data-centered fog platform for smart living,” in From Internet of Things to Smart Cities: Enabling Technologies, CRC Press, Taylor & Francis Group, pp. 357-377, Sep. 2017.

(Invited) Presentations

[P4]    J. Li, “Embedding Indigenous Perspectives in IT Education”,  in the ACSME 2025 Conference, Melbourne, Australia, 1, Oct. 2025.

[P3]    J. Li, “Indigenising Computing Curriculum: A Starter Framework for Community of Practice”,  in the 2025 ACDICT Annual Conference, Darwin, Australia, 25, Jun. 2025.

[P2]    J. Li, “Too Expensive to Attack: Enlarge the Attack expense through Joint Defense at the Edge”,  in the 20th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom 2021), Shenyang, China, 21, Oct. 2021.

[P1]    J. Li, “Beating DDoS attacks through collaboration at the edge”,  in the 6th Online International Lecture Series and the ICIS 2021-Fall, Northwestern Polytechnic University, Xi'an China, 14, Oct. 2021.