Trust-based Approaches Towards Enhancing IoT Security: A Systematic Literature Review
Oghenetejiri Okporokpo, Funminiyi Olajide, Nemitari Ajienka, Xiaoqi, Ma

TL;DR
This paper systematically reviews trust-based cybersecurity approaches for IoT, categorizing existing techniques and discussing open issues and future research directions to address IoT-specific security challenges.
Contribution
It provides a comprehensive classification of trust-based mitigation techniques for IoT security and highlights open issues and future research directions.
Findings
Trust-based approaches are categorized into Observation, Knowledge, and Cluster-Based systems.
Identified common trust mitigation techniques for IoT security.
Highlighted open issues and future research directions in trust-based IoT security.
Abstract
The continuous rise in the adoption of emerging technologies such as Internet of Things (IoT) by businesses has brought unprecedented opportunities for innovation and growth. However, due to the distinct characteristics of these emerging IoT technologies like real-time data processing, Self-configuration, interoperability, and scalability, they have also introduced some unique cybersecurity challenges, such as malware attacks, advanced persistent threats (APTs), DoS /DDoS (Denial of Service & Distributed Denial of Service attacks) and insider threats. As a result of these challenges, there is an increased need for improved cybersecurity approaches and efficient management solutions to ensure the privacy and security of communication within IoT networks. One proposed security approach is the utilization of trust-based systems and is the focus of this study. This research paper presents a…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Blockchain Technology Applications and Security · Cloud Data Security Solutions
