Publications 

Journals 

• Muhammad Islam, Mubashir Husain Rehmani, Jinjun Chen, Differentially private enhanced permissioned blockchain for private data sharing in industrial IoT, Information Sciences, Volume 658, 2024, 119997, ISSN 0020-0255, https://doi.org/10.1016/j.ins.2023.119997. (IF 8.1)

    Link: https://doi.org/10.1016/j.ins.2023.119997 

• M. Islam, M. H. Rehmani, L. Gao and J. Chen, "An Optimized Privacy-Utility Trade-off Framework for Differentially Private Data Sharing in Blockchain-Based Internet of Things," in IEEE Internet of Things Journal (impact factor: 8.2).

    Link: https://ieeexplore.ieee.org/document/10843378 

• Muhammad Islam, Niroshinie Fernando, Seng W. Loke, Azadeh Ghari Neiat, Pubudu N. Pathirana, Blockchain-Enabled Device-Enhanced Multi-Access Edge Computing in Open Adversarial Environments, 2024 (submitted to IEEE Communication Magazine, IF 8.3).

Conferences 

• Islam, M., Rehmani, M.H. and Chen, J., 2021, December. Transparency-privacy Trade-off in Blockchain-Based Supply Chain in Industrial Internet of Things. In 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys) (pp. 1123-1130). IEEE.

Link: https://ieeexplore.ieee.org/document/9781216

• Islam M., Rehmani M.H., Chen J. (2022) Differential Privacy-Based Permissioned Blockchain for Private Data Sharing in Industrial IoT. In: Xiang W., Han F., Phan T.K. (eds) Broadband Communications, Networks, and Systems. BROADNETS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 413. Springer, Cham. https://doi.org/10.1007/978-3-030-93479-8_5. 

Link: https://link.springer.com/chapter/10.1007/978-3-030-93479-8_5 

• Muhammad Islam, Sanjay, Niroshinie Fernando, Seng W. Loke, Azadeh Ghari Neiat, Pubudu N. Pathirana, Blockchain Based Trust and Validation in Mobile Collaborative Computing, 2024 (accepted in ACM SIGCOMM 2024, Core Rank A*).