IoT: current challenges and future applications

Abstract

This master's thesis explores the dynamic landscape of Internet of Things (IoT) technology, focusing on its transformative potential and obstacles. The study explores the role of IoT devices in reshaping industries, enhancing efficiency, and enhancing resource management by navigating the complex web of IoT devices. The investigation identifies key contributors to the prevalent security vulnerabilities in IoT systems and suggests strategies to strengthen their defences. The research creates a comprehensive framework that combines encryption, authentication, and anomaly detection mechanisms to address the pressing need for secure and efficient IoT solutions. Utilising cutting-edge technologies such as machine learning and blockchain, the framework not only improves the security of IoT devices, but also guarantees data integrity and user privacy. This solution's significance rests in its capacity to pave the way for safer and more reliable IoT technology, thereby nurturing confidence among users, industries, and policymakers. The results of the study demonstrate the effectiveness of the proposed framework in protecting IoT ecosystems from cyber threats, while also addressing ethical and regulatory concerns. Beyond technology, this research has implications for societal well-being, sustainable practises, and economic growth. By mitigating the security risks associated with the Internet of Things, this study establishes the foundation for realising the maximum potential of IoT technology in various industries.