Publications

Journal Publications:  [Total Impact Factor = 102.37] [Total Citations: 1900+]


[J11]     Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, Anomaly Detection in Blockchain Networks: A Comprehensive Survey, IEEE Communications Surveys & Tutorials, in Print, 2022. [ISI Indexed, Impact Factor = 33.84]
(Ranked # 01 Journal in Telecommunications and CS according to JCR).

[J10]      Muneeb Ul Hassan, Mubashir Husain Rehmani, Jia Tina Du, and Jinjun Chen, Differentially Private Demand Side Management for Incentivized Dynamic Pricing in Smart Grid, IEEE Transactions on Knowledge and Data Engineering, in Print, 2022. .  [ISI Indexed, Impact Factor = 9.235]

[J9]      Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, Optimizing Blockchain Based Smart Grid Auctions: A Green Revolution, IEEE Transactions on Green Communications and Networking, Vol. 6, Issue: 1, March pp. 462-471, 2022.  [ISI Indexed, Impact Factor = 3.525]

[J8]     Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, DEAL: Differentially Private Auction for Blockchain based Microgrids Energy Trading, IEEE Transactions on Service Computing, Vol. 13, Issue: 2, pp. 263-275, 2020. [ISI Indexed, Impact Factor = 8.216] 

[J7]     Muneeb Ul Hassan, Mubashir Husain Rehmani, Maaz Rehan, and Jinjun Chen, Differential Privacy in Cognitive Radio Networks: A Comprehensive Survey, Springer Cognitive Computation, in Print, 2022. [ISI Indexed, Impact Factor = 4.89]

[J6]     Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, Differential Privacy Techniques for Cyber Physical Systems: A Survey, IEEE Communications Surveys & Tutorials, Vol. 22, Issue: 1, pp. 746-789, First quarter 2020. [ISI Indexed, Impact Factor = 25.249]
(Ranked # 01 Journal in Telecommunications and CS according to JCR)  (This article got selected in High Impact Publications by CONNECT Research Center).

[J5]      Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, Differential Privacy in Blockhain Technology: A Futuristic ApproachJournal of Parallel and Distributed Computing ,Vol. 145, pp. 50–74, 2020.  [ISI Indexed, Impact Factor = 3.734] (A* Journal, CORE Ranking)  

[J4]     Athar Ali Khan, Muneeb Ul Hassan, Mubashir Husain Rehmani, and Xiaodong Yang, Data Broadcasting Strategies for Cognitive Radio based AMI Networks, Springer Wireless Networks,  Vol. 26, No. 1, pp 145-164, 2020. [ISI Indexed, Impact Factor = 2.602]

[J3]     Muneeb Ul Hassan, Mubashir Husain Rehmani, Ramamohanarao Kotagiri, Jiekui Zhang, and Jinjun Chen, Differential Privacy for Renewable Energy Resources based Smart Metering, Elsevier Journal of Parallel and Distributed Computing , Vol. 131, pp. 69-80, September 2019 
[ISI Indexed, Impact Factor = 2.296] (A* Journal, CORE Ranking)  

[J2]     Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, Privacy Preservation in Blockchain Based IoT Systems: Integration Issues, Prospects, Challenges, and Future Research Directions, Elsevier Future Generation Computer Systems, Vol. 97, pp. 512–529, August 2019.
[ISI Indexed, Impact Factor = 6.125]

[J1]     Muneeb Ul Hassan, Mubashir Husain Rehmani, and Yasir Faheem, Performance Evaluation of Broadcasting Strategies in Cognitive Radio Networks, Springer Wireless Networks, Vol. 25, No. 3, pp 999–1016, April 2019. [ISI Indexed, Impact Factor = 2.659]


______________________________________________________________________________________________________________________________________________________________________

International Conferences:

[C3]  Kai Zhang, Yanjun Zhang, Ruoxi Sun, Pei-Wei Tsai, Muneeb Ul Hassan, Xin Yuan, Minhui Xue, Jinjun Chen, Bounded and Unbiased Composite Differential Privacy, IEEE Symposium on Security and Privacy (S&P), 2024. [IEEE Computer Society Flagship Conference] [CORE A* Ranking]

[C2]     Abdullah A. Al-khatib, Muneeb Ul Hassan, and Klaus Mößner, Heuristic Optimization of Bandwidth Reservation Cost for Vehicular Applications, IEEE Global Communication Conference (GLOBECOM), Rio de Janeiro, Brazil, 2022. [IEEE Communications Society Flagship Conference] 

[C1]     Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, Differentially Private Dynamic Pricing for Efficient Demand Response in Smart Grid, IEEE International Conference on Communications (ICC), 2020.  [IEEE Communications Society Flagship Conference] 

______________________________________________________________________________________________________________________________________________________________________

Book Chapter:

[BC2]     Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, Differentially Private RER On-Demand Reading for Edge Computing based Smart Grid Operating over Blockchain, Blockchain-enabled Fog and Edge Computing: Concepts, Architectures and Applications, Taylor & Francis Group, 2020 

[BC1]     Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, Performance Evaluation of Differential Privacy Mechanisms in Blockchain based Smart Metering, Blockchains for Network Security: Principles, technologies and applications, IET, 2020.

_____________________________________________________________________________________________________________________________________________________________________

Submitted Works:

[S1]   Muneeb Ul Hassan, Mubashir Husain Rehmani, and Jinjun Chen, VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants, arXiv preprint arXiv:2102.01480 (2021). [Submitted to Venue] (Link: https://arxiv.org/abs/2102.01480)

_____________________________________________________________________________________________________________________________________________________________________

Disclaimer: The publications mentioned on this website belong to IEEE, Elsevier, Springer, Wiley, CRC Press, IGI Global etc. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE, Elsevier or other publishers to which the publication belongs. Except as provided by law, this material may not be further reproduced, distributed, transmitted, modified, adapted, performed, displayed, published, or sold in whole or part, without prior written permission from the publisher and the web site owner.