Iot and Cybersecurity: Addressing Emerging Threats Through Innovative Computer Science Solutions

Abstract

Increased usage of smart devices especially under the internet of things (IoT) have provoked emergence of different security issues as a result of connected devices worldwide. This review article aspires to assess more recent threats on IoT ecosystems and present cutting edge computer science solutions towards these threats. AI, ML, Blockchain, and Quantum Cryptography are discussed for their applicability towards improving the security of the IoT technology. The article also looks at the existing architectures and standard technologies including; Lightweight Machine-Type Communications (LwM2M) as well as Datagram Transport Layer Security (DTLS) as well as the use of cloud and edge computing in the defense against IoT threats. Real-world application examples, smart city and building infrastructure, smart healthcare and industrial IoT use cases provide a use case of these solutions. Finally, the review summarizes future trends and directions of IoT cybersecurity that has presented the significance of continuous research toward standardized, quantized, and privacy-preserving security frameworks.