Sahu Swastik Kumar, Mazumdar Kaushik
Department of Electronics Engineering, IIT (ISM), Dhanbad, India.
Front Artif Intell. 2024 May 15;7:1397480. doi: 10.3389/frai.2024.1397480. eCollection 2024.
The rapid proliferation of Internet of Things (IoT) devices across various industries has revolutionized the way we interact with technology. However, this widespread adoption has also brought about significant security challenges that must be addressed to ensure the integrity and confidentiality of data transmitted and processed by IoT systems. This survey paper delves into the diverse array of security threats faced by IoT devices and networks, ranging from data breaches and unauthorized access to physical tampering and denial-of-service attacks. By examining the vulnerabilities inherent in IoT ecosystems, we highlight the importance of implementing robust security measures to safeguard sensitive information and ensure the reliable operation of connected devices. Furthermore, we explore cutting-edge technologies such as blockchain, edge computing, and machine learning as potential solutions to enhance the security posture of IoT deployments. Through a comprehensive analysis of existing security frameworks and best practices, this paper aims to provide valuable insights for researchers, practitioners, and policymakers seeking to fortify the resilience of IoT systems in an increasingly interconnected world.
物联网（IoT）设备在各行各业的迅速普及彻底改变了我们与技术交互的方式。然而，这种广泛采用也带来了重大的安全挑战，必须加以解决，以确保物联网系统传输和处理的数据的完整性和保密性。这篇综述论文深入探讨了物联网设备和网络面临的各种安全威胁，从数据泄露、未经授权的访问到物理篡改和拒绝服务攻击。通过研究物联网生态系统中固有的漏洞，我们强调了实施强大安全措施以保护敏感信息并确保连接设备可靠运行的重要性。此外，我们探索了诸如区块链、边缘计算和机器学习等前沿技术，将其作为增强物联网部署安全态势的潜在解决方案。通过对现有安全框架和最佳实践的全面分析，本文旨在为寻求在日益互联的世界中增强物联网系统弹性的研究人员、从业者和政策制定者提供有价值的见解。
