Cyber-physical security for IoT networks: a comprehensive review on traditional, blockchain and artificial intelligence based key-security

Abstract

The recent years have garnered huge attention towards the Internet of Things (IoT) because it enables its consumers to improve their lifestyles and professionally keep up with the technological advancements in the cyber-physical world. The IoT edge devices are heterogeneous in terms of the technology they are built on and the storage file formats used. These devices require highly secure modes of mutual authentication to authenticate each other before actually sending the data. Mutual authentication is a very important aspect of peer-to-peer communication. Secure session keys enable these resource-constrained devices to authenticate each other. After successful authentication, a device can be authorized and can be granted access to shared resources. The need for validating a device requesting data transfer to avoid data privacy breaches that may compromise confidentiality and integrity. Blockchain and artificial intelligence (AI) both are extensively being used as an integrated part of IoT networks for security enhancements. Blockchain provides a decentralized mechanism to store validated session keys that can be allotted to the network devices. Blockchain is also used to load balance the stressing edge devices during low battery levels. AI on the other hand provides better learning and adaptiveness towards IoT attacks. The integration of newer technologies in IoT key management yields enhanced security features. In this article, we systematically survey recent trending technologies from an IoT security point of view and discuss traditional key security mechanisms. This article delivers a comprehensive quality study for researchers on authentication and session keys, integrating IoT with blockchain and AI-based authentication in cybersecurity.

The New Trend of the Integration of Artificial Intelligence and Blockchain in Network Security

“…Once a transaction is recorded on the blockchain, it is immutable, meaning it cannot be altered or deleted. Additionally, the transparent nature of blockchain allows anyone to view the entire transaction history, promoting accountability and trust among network participants [5] . ISSN 2616-5775 Vol.…”

Role of Authentication Factors in Fin-Tech Mobile Transaction Security

“…It is the monitoring of chat and communication that is helpful in keeping track [109]. It is useful in cyber security for authentication [110].To create geographically dispersed data and create a history model provenance and lineage tracking trusted A.I. [111].…”

A protocol to establish trust on biometric authentication devices

“…11 For example, the malicious software of the scanning device may store a copy of the biometric template to replay later. 12,13 To address the issues related to non-authentic biometric authentication devices and to handle device tempering attacks, several authors like Shah et al 14 proposed a revolutionary Lightweight Continuous Device-to-Device Authentication (LCDA) protocol. The proposed protocol uses communication channel features and a configurable function to produce session keys that change on the fly, allowing for time-based continuous authentication of devices.…”

“…In addition to the additive/subtractive functions provided by biometric authentication devices, some biometric authentication devices may have malicious software 11 . For example, the malicious software of the scanning device may store a copy of the biometric template to replay later 12,13 …”