Mohsin khan

About

Mohsin Khan is a doctoral researcher in Cybersecurity at UiT The Arctic University of Norway. His research investigates end-to-end security mechanisms for distributed IoT/OT systems, combining blockchain-based access control, capability-token models, and lightweight cryptographic benchmarking on embedded architectures. He utilizes tools such as ChipWhisperer for side-channel analysis, Prometheus/Grafana for observability, and STRIDE for threat modeling.

His work appears in IEEE Access, SECRYPT, NordSec, and FMEC. He has contributed to international research communities through participation in the Finse Cyber Security Winter School, the Reykjavík Secure Distributed Systems Summer School, and the EuroSys Principles of Consistency Workshop.

Employment

• UiT The Arctic University of Norway PhD in Cyber Security
  2021 - Present
• BBInsight Data Engineer
  2021 - 2021

Education

• Central University of Jammu M.Tech (Computer Science and Technology)
  2018 - 2020
• Baba Ghulam Shah Badshah University B.Tech (Information Technology and Telecommunication Engineering)
  2014 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• A Comparative Software Benchmark of Lightweight Hash Functions on 8-Bit AVR Using ChipWhisperer
  2026 DOI: 10.1007/978-3-032-14782-0_4
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• System Support for Accountable and Trusted Data Collection and Fog Processing in Remote Electronic Monitoring
  2025 10th International Conference on Fog and Mobile Edge Computing (FMEC) 2025 DOI: 10.1109/fmec65595.2025.11119373
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• Performance Evaluation of Lightweight Cryptographic Ciphers on ARM Processor for IoT Deployments
  2025 DOI: 10.1007/978-981-96-2417-1_14
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• Software Benchmarking of NIST Lightweight Hash Function Finalists on Resource-Constrained AVR Platform via ChipWhisperer
  Proceedings of the 22nd International Conference on Security and Cryptography 2025 DOI: 10.5220/0013560700003979
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• Survey of Lightweight Hardware-Based Hash Functions for Security in Constrained IoT Devices
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3611280
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• Performance Evaluation of Lightweight Stream Ciphers for Real-Time Video Feed Encryption on ARM Processor
  Future Internet 2024 DOI: 10.3390/fi16080261
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• A Multi-pronged Self-adaptive Controller for Analyzing Misconfigurations for Kubernetes Clusters and IoT Edge Devices
  2023 DOI: 10.1007/978-3-031-46235-1_10
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• Traffic Congestion Reduction and Accident Circumvention System via Incorporation of CAV and VANET
  International Journal of Ambient Computing and Intelligence 2021 DOI: 10.4018/IJACI.2021010103
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• Traffic Jam Minimization and Accident Avoidance System Using IoT
  2021 DOI: 10.1007/978-981-15-7804-5_4
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• Smart n Secure Home Using IOT
  International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2018
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