Exploring security, performance and privacy in the internet of things: A comprehensive survey
Jaramogi Oginga Odinga University of Science and Technology, 40601, Bondo.
Review Article
GSC Advanced Research and Reviews, 2024, 21(01), 280–319.
Article DOI: 10.30574/gscarr.2024.21.1.0388
Publication history:
Received on 13 September 2024; revised on 19 October 2024; accepted on 22 October 2024
Abstract:
The Internet of Things (IoT) has rapidly emerged as a transformative technology, enabling a vast network of interconnected devices that collect, exchange, and act on data across diverse applications. However, the pervasive integration of IoT into critical sectors such as healthcare, smart cities, and industrial automation has raised significant concerns regarding security, privacy, and performance. This survey provides a comprehensive overview of the key challenges and advancements in these areas. It begins by exploring the fundamental security vulnerabilities in IoT systems, including threats from malicious actors, weak authentication protocols, and software vulnerabilities. Privacy concerns are then discussed, focusing on issues related to data collection, user consent, and the risk of data breaches. Furthermore, the paper examines the performance challenges in IoT environments, such as limited computational resources, network latency, and energy efficiency. Through an analysis of current solutions, including encryption techniques, privacy-preserving frameworks, and performance optimization strategies, this survey highlights ongoing research efforts and identifies areas requiring further investigation. By synthesizing the state-of-the-art approaches, this paper aims to guide future developments towards a more secure, privacy-conscious, and efficient IoT ecosystem.
Keywords:
IoT security; Privacy preservation; Performance optimization; Threat mitigation; Data Protection; Network efficiency
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0
