RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks
The rapid expansion of Mobile Edge Computing (MEC) and the Internet of Things (IoT) has revolutionized technology by enabling real-time data processing at the network edge, which is essential for applications such as autonomous vehicles and smart cities. With the advent of 6G networks, which promise...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Alexandria Engineering Journal |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S111001682401281X |
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| author | Muhammad Tanveer Saud Alhajaj Aldossari |
| author_facet | Muhammad Tanveer Saud Alhajaj Aldossari |
| author_sort | Muhammad Tanveer |
| collection | DOAJ |
| description | The rapid expansion of Mobile Edge Computing (MEC) and the Internet of Things (IoT) has revolutionized technology by enabling real-time data processing at the network edge, which is essential for applications such as autonomous vehicles and smart cities. With the advent of 6G networks, which promise ultra-fast speeds, vast connectivity, and low-latency communication, MEC-IoT systems are becoming more powerful but also face significant security challenges. Existing authentication mechanisms (AMs) are often vulnerable to attacks like impersonation and insider threats. This paper introduces a novel lightweight AM, called RAM-MEN that employs cryptography and physically unclonable functions (PUFs) to secure IoT-enabled MEC environments in the 6G era. It protects against insider threats and fake MEC access points while ensuring efficiency and scalability. Additionally, the proposed RAM-MEN establishes a secure communication channel (session key) between IoT devices and the MEC server, enabling secure offloading of computationally intensive tasks. The security of the session is rigorously evaluated using formal methods, including Scyther and the random or real model, alongside informal approaches. Comparative performance evaluations show that the proposed RAM-MEN reduces communication costs by 21.54% to 45.53% and computational costs by 17.09% to 83.72%, while providing enhanced security features. |
| format | Article |
| id | doaj-art-f337dbadab9348bd8981bb5c00fae716 |
| institution | Kabale University |
| issn | 1110-0168 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Alexandria Engineering Journal |
| spelling | doaj-art-f337dbadab9348bd8981bb5c00fae7162025-01-29T05:00:16ZengElsevierAlexandria Engineering Journal1110-01682025-01-01112436447RAM-MEN: Robust authentication mechanism for IoT-enabled edge networksMuhammad Tanveer0Saud Alhajaj Aldossari1School of Systems and Technology (SST), University of Management and Technology, Lahore, Pakistan; Corresponding author.Department of Electrical Engineering, Prince Sattam bin Abdulaziz University Wadi Aldawsar, Ar Riyadh, Saudi ArabiaThe rapid expansion of Mobile Edge Computing (MEC) and the Internet of Things (IoT) has revolutionized technology by enabling real-time data processing at the network edge, which is essential for applications such as autonomous vehicles and smart cities. With the advent of 6G networks, which promise ultra-fast speeds, vast connectivity, and low-latency communication, MEC-IoT systems are becoming more powerful but also face significant security challenges. Existing authentication mechanisms (AMs) are often vulnerable to attacks like impersonation and insider threats. This paper introduces a novel lightweight AM, called RAM-MEN that employs cryptography and physically unclonable functions (PUFs) to secure IoT-enabled MEC environments in the 6G era. It protects against insider threats and fake MEC access points while ensuring efficiency and scalability. Additionally, the proposed RAM-MEN establishes a secure communication channel (session key) between IoT devices and the MEC server, enabling secure offloading of computationally intensive tasks. The security of the session is rigorously evaluated using formal methods, including Scyther and the random or real model, alongside informal approaches. Comparative performance evaluations show that the proposed RAM-MEN reduces communication costs by 21.54% to 45.53% and computational costs by 17.09% to 83.72%, while providing enhanced security features.http://www.sciencedirect.com/science/article/pii/S111001682401281XSecure channelMobile Edge ComputingSecurityScytherAuthentication |
| spellingShingle | Muhammad Tanveer Saud Alhajaj Aldossari RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks Alexandria Engineering Journal Secure channel Mobile Edge Computing Security Scyther Authentication |
| title | RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks |
| title_full | RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks |
| title_fullStr | RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks |
| title_full_unstemmed | RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks |
| title_short | RAM-MEN: Robust authentication mechanism for IoT-enabled edge networks |
| title_sort | ram men robust authentication mechanism for iot enabled edge networks |
| topic | Secure channel Mobile Edge Computing Security Scyther Authentication |
| url | http://www.sciencedirect.com/science/article/pii/S111001682401281X |
| work_keys_str_mv | AT muhammadtanveer rammenrobustauthenticationmechanismforiotenablededgenetworks AT saudalhajajaldossari rammenrobustauthenticationmechanismforiotenablededgenetworks |