IoT and Network Security: Researching Network Intrusion and Security Challenges in Smart Devices

Abstract

The sheer proliferation of Internet of Things (IoT) devices across consumer, industrial, and critical infrastructure categories has brought with it a level of access and automation that has never been seen before. This increase, however, has brought about an even greater attack surface, with major security holes given the resource limitations, diversity, and non-standardization that come with an IoT environment. This paper examines the diverse security concerns raised by IoT networks such as threats to networks intrusion, network-level attacks as well as threats to IoT devices and some of the new forms of attacks that have evolved to attack smart devices. It rates the traditional and IoT-dedicated intrusion detection methods, lightweight encryption methods, and the place of AI and machine learning in detecting threats. Future-based initiatives like blockchain-based authentication, zero-trust architecture, and edge/fog computing to provide real-time defense are also discussed in the paper. Lastly, it identifies the significance of developing regulatory frameworks and offers practical suggestions to stakeholders as a way of ensuring the successful protection of IoT ecosystems. The study will serve to enhance the growth of innovative, flexible, and scalable security measures in the changing IoT environment.