Mohammad Heydari

Dr Mohammad Heydari

Contact Details

Office: 25BB02

Department of Computer Science

University of Surrey

Guildford, Surrey, GU2 7XH, UK

Email: m[Dot]heydari[At]surrey.ac.uk

بسم الله الرحمن الرحیم

About Me

I am a research fellow in the department of computer science at the University of Surrey. My current research project is in the field of trusted computing and aims to build a lightwight and formally verified swarm attestation protocol using "seL4" micro kernel.

I received my BSc in computer science and MSc in computer communication networks from Brunel University, UK. I also completed a PhD on "Indeterminacy-Aware Prediction Models for Authentication in Internet of Things" at Bournemouth University, UK.

My main research goal is to develop Artificial Intelligence (AI) and Machine Learning (ML) enabled solutions for cyber security. My main research interests are:

  • Resilient AI and ML based solutions for Internet of Things security
  • AI and ML enhanced approaches for malware detection
  • Detecting and mitigating methods for orchestrated attacks in networks using AI and ML
  • Adversarial ML in cyber security

Recent Publications

Papers

  • Mohammad Heydari, Alexios Mylonas, Vahid Heydari Fami Tafreshi, Elhadj Benkhelifa, Surjit Singh “Known Unknowns: Indeterminacy in Authentication in IoT”, Elsevier Journal of Future Generation Computer Systems, 2020
  • Mohammad Heydari, Alexios Mylonas, Vasilios Katos, Emili Balaguer-Ballester, V. H. F. Tafreshi and Elhadj Benkhelifa, “A Location-Aware Authentication Model to Handle Uncertainty in IoT”, The Sixth IEEE International Conference on Internet of Things: Systems, Management and Security (IoTSMS 2019).
  • Mohammad Heydari, Alexios Mylonas, Vasilios Katos, Emili Balaguer-Ballester, V. H. F. Tafreshi, “Uncertainty-Aware Authentication Model for IoT”, ESORICS Workshop (SECPRE), 2019.
  • Mohammad Heydari, Alexios Mylonas, Vasilios Katos, Emili Balaguer-Ballester, V. H. F. Tafreshi and Elhadj Benkhelifa, “Uncertainty-Aware Authentication Model for Fog Computing in IoT” in the 4th IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2019), Rome, Italy, June 2019.
  • Nisioti, M. Heydari, A. Mylonas, V. Katos and V. H. F. Tafreshi, “TRAWL: Protection Against Rogue Sites for the Masses” in the 11th International Conference on Research Challenges in Information Science (RCIS), Brighton, UK, 2017, pp. 120-127.

Book & Book Chapter

  • Mohammad Heydari, Alexios Mylonas, Vasileios Katos, Dimitris Gritzalis, Book Chapter: “Towards Indeterminacy-Tolerant Access Control in IoT”, Book title: “Handbook of Big data and IoT Security”, Springer, 2019.
  • Mohammad Heydari, Book Title: “8Th Layer, The Security Layer”, Faraz Andish Sabz, ISBN: 978-964-8034-48-6, 2008.
  • PhD Thesis

  • Mohammad Heydari, "Indeterminacy-Aware Prediction Model for Authentication in IoT", PhD Thesis, Departmnet of computing and Informatics, Bournemouth University.
  • Under Review

  • Mohammad Heydari, Brijesh Dongol, Santanu Dash and Sadegh Dalvandi, “Designing a formally verified remote attestation protocol using seL4”, Elsevier Journal of Systems and Software, 2020
  • Ready Submitted

  • Mohammad Heydari, Alexios Mylonas, Vasilios Katos, Emili Balaguer-Ballester, V. H. F. Tafreshi and Elhadj Benkhelifa, “UTOPIA: Uncertainty and Trust Oriented Prediction models for Internet of things Authentication”, IEEE Internet of Things Journal, 2020