Securing and advancing cybersecurity and privacy for iot smart devices in communication systems

Abstract

Internet of Things (IoT) is a technology enabling all integrated devices to autonomously gather, analyze and exchange data across diverse platforms, including local and cloud-based systems. IoT devices facilitate essential applications, including healthcare monitoring, smart homes, and industrial automation, thereby improving operational efficiency and user convenience. The growing adoption of IoT devices has raised significant cybersecurity and privacy challenges, as their transmission of sensitive data makes them vulnerable to cyber threats. Addressing these challenges is essential for the establishment of secure and reliable IoT ecosystems. This thesis investigates cybersecurity and privacy strategies tailored to IoT communication systems. Through a comprehensive analysis, it highlights vulnerabilities associated with IoT devices, including risks like unauthorized access and data breaches, and identity theft. Leveraging tools such as Kali Linux for vulnerability assessment and penetration testing, this research proposes robust security frameworks to mitigate risks. This study examines advanced mechanisms such as lightweight machine learning models, blockchain integration, and hardware-based security solutions, designed to protect IoT ecosystems from emerging threats. The research highlights the significance of privacy in the Internet of Things, advocating for the establishment of ethical frameworks and adaptive authentication mechanisms to maintain data integrity and user control. Future research will concentrate on creating innovative protocols for secure data exchange, tackling ethical issues in pervasive computing, and incorporating scalable security models for constrained IoT environments. This thesis addresses critical cybersecurity and privacy issues, contributing to the advancement of resilient and secure IoT systems and promoting a safer digital future.