Autonomous Mutual Authentication Protocol in the Edge Networks

Author:

Sheu Ruey-KaiORCID,Pardeshi Mayuresh SunilORCID,Chen Lun-ChiORCID

Abstract

A distinct security protocol is necessary for the exponential growth in intelligent edge devices. In particular, the autonomous devices need to address significant security concern to function smoothly in the high market demand. Nevertheless, exponential increase in the connected devices has made cloud networks more complex and suffer from information processing delay. Therefore, the goal of this work is to design a novel server-less mutual authentication protocol for the edge networks. The aim is to demonstrate an autonomous mutual authentication amongst the connected smart devices within the edge networks. The solution addresses applications of autonomous cars, smart things, and Internet of Things (IoT) devices in the edge or wireless sensor networks (WSN), etc. In this paper, the design proposes use of a public-key system, octet-based balanced-tree transitions, challenge–response mechanism, device unique ID (UID), pseudo-random number generator (PRNG), time-stamps, and event specific session keys. Ultimately, server-less design requires less infrastructure and avoids several types of network-based communication attacks, e.g., impersonating, Man in the middle (MITM), IoT-DDOS, etc. Additionally, the system overhead is eliminated by no secret key requirements. The results provide sufficient evidence about the protocol market competitiveness and demonstrate better benchmark comparison results.

Funder

Ministry of Science and Technology (MOST), Taiwan

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

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1. A Secure Mutual Authentication Protocol Based on Visual Cryptography Technique for IoT-Cloud;Chinese Journal of Electronics;2024-01

2. Lightweight cryptographic secure random number generator for IoT devices;2023 24th International Conference on Control Systems and Computer Science (CSCS);2023-05

3. Edge/Fog Computing Technologies for IoT Infrastructure II;Sensors;2023-04-13

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