Mohammad Borhani

Doktorand

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Doktorand i Datavetenskap, vid Linköpings universitet, 2021

Publikationer

2026

Mohammad Borhani, Gurjot Singh Gaba, Dmitriy Kuptsov, Andrei Gurtov (2026) Towards Secure and Scalable Provider-Provisioned Layer 2 VPNs: Embracing Zero Trust Approach IEEE transactions on consumer electronics, s. 1-1 (Artikel i tidskrift)

https://dx.doi.org/10.1109/tce.2026.3661430

2025

Mohammad Borhani, Ioannis Avgouleas, Madhusanka Liyanage, Andrei Gurtov (2025) Secure Scalable VPLS: A Lagrangian Relaxation Approach to Tunnel Relaying Optimization IEEE Transactions on Networking (Artikel i tidskrift)

https://dx.doi.org/10.1109/ton.2025.3617789

2024

Mohammad Borhani, Gurjot Singh, Juan Basaez, Ioannis Avgouleas, Andrei Gurtov (2024) A critical analysis of the industrial device scanners' potentials, risks, and preventives Journal of Industrial Information Integration, Vol. 41, Artikel 100623 (Artikel, forskningsöversikt)

https://dx.doi.org/10.1016/j.jii.2024.100623

2023

Mohammad Borhani, Ioannis Avgouleas, Madhusanka Liyanage, Andrei Gurtov (2023) KDC Placement Problem in Secure VPLS Networks IEEE Transactions on Information Forensics and Security, Vol. 18, s. 1951-1962 (Artikel i tidskrift)

https://dx.doi.org/10.1109/tifs.2023.3254447

2022

Mohammad Borhani, Ioannis Avgouleas, Andrei Gurtov (2022) Optimization of Relay Placement for Scalable Virtual Private LAN Services FIRA '22: Proceedings of the ACM SIGCOMM Workshop on Future of Internet Routing & Addressing, s. 43-49 (Konferensbidrag)

https://dx.doi.org/10.1145/3527974.3545719

2021

Kuntal Gaur, Anshuman Kalla, Jyoti Grover, Mohammad Borhani, Andrei Gurtov, Madhusanka Liyanage (2021) A Survey of Virtual Private LAN Services (VPLS): Past, Present and Future Computer Networks, Vol. 196, Artikel 108245 (Artikel i tidskrift)

https://dx.doi.org/10.1016/j.comnet.2021.108245

2020

Mohammad Borhani, Madhusanka Liyanage, Ali Hassan Sodhro, Pardeep Kumar, Anca Delia Jurcut, Andrei Gurtov (2020) Secure and resilient communications in the industrial internet Guide to disaster-resilient communication networks, s. 219-242 (Kapitel i bok, del av antologi)

https://dx.doi.org/10.1007/978-3-030-44685-7_9

Forskning

Lärare och studenter med laptops interagerar med varandra

Forskarskola i datavetenskap, CUGS

Forskarskolan CUGS vid Institutionen för datavetenskap, Linköpings universitet, är vetenskapligt inriktad mot centrala delar av ämnena datalogi och datorsystem.