Publication Details
Abstract
The proliferation of Internet of Things (IoT) gadgets that blistered the urban settings transformed the cities into the smart cities that facilitate transportation, energy, healthcare, and security. Irrespective of such advancements, the IoT systems are faced with severe security challenges that threaten the integrity of data, privacy and reliability of the urban infrastructures. The article is a scientific study of the main insecurity threats of smart city IoT systems, which include the Distributed Denial of Service (DDoS), information leakage, malware code injection, and device authentication and communication standards attacks. Moreover, it takes into account the most advanced mitigation strategies, such as optimistic encryption algorithms, blockchain-secured data models, edge computing as the means to perform decentralized processing, intrusion detection systems (IDS) and AI-assisted anomaly detection. Through the comparative analysis and the actual life scenarios, the study demonstrates the applicability of the solutions in reducing security threats as well as enhancing the system resiliency. The findings provide realistic suggestions to the urban planners, policy makers and IoT developers, with regard to the realistic implementation measures that can be used to secure the smart city systems and ensure reliability, usability and sustainability.