Mohammed Al-Shaboti

PhD Student School of Engineering and Computer Science

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Thesis Info

Research Interests: Network security, IoT devices, Software-defined Networking
Thesis Title: Fine-grained Access Control for Smart Spaces using User Inputs
Supervisor: A/Prof Ian Welch, Dr Aaron Chen

 

Publications

All my publications Google Scholar.

Some selected papers:
  1. Al-Shaboti, M., Chen, A., & Welch, I. Achieving Optimal and Secure Sharing of IoT Devices in Multi-User Smart Spaces. LCN 2020 45th IEEE Conference on Local Computer Networks. (Accepted)

  2. Al-Shaboti, M., Welch, I., & Chen, A. (2019, July). IoT Application-Centric Access Control (ACAC). In Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security (pp. 685-687).
  3. Al-Shaboti, M., Chen, A., & Welch, I. (2019, August). Automatic Device Selection and Access Policy Generation based on User Preference for IoT Activity Workflow. In 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) (pp. 769-774). IEEE.
  4. Al-Shaboti, M., Welch, I., Chen, A., \& Mahmood, M. A. (2018, May). Towards secure smart home iot: Manufacturer and user network access control framework. In 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA) (pp. 892-899). IEEE.
  5. Baroudi, Uthman, et al. "Dynamic Multi-Objective Auction-Based (DYMO-Auction) Task Allocation." Applied Sciences 10.9 (2020): 3264.
  6. Baroudi, Uthman Abdul-Rahman, and Mohammed Mahmood Al-Shaboti. "Method for robotic localization." U.S. Patent Application No. 15/152,498.