Integrating security, privacy, and advanced cyber technologies for Resilient Urban, IoT, and AI Systems

Ali Dayoub *

Capitol Technology University, South Laurel, Maryland, near Washington, DC.
 
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 085–099.
Article DOI: 10.30574/wjaets.2024.13.1.0394
Publication history: 
Received on 30 July 2024; revised on 07 September 2024; accepted on 09 September 2024
 
Abstract: 
This paper explores the critical intersection of cybersecurity, privacy, and advanced technologies in today's interconnected urban environments. It reviews recent advancements in secure communication, vehicle networks, and smart systems while addressing the growing challenges of cyber threats across domains such as healthcare, education, and infrastructure. By integrating innovative approaches, including machine learning, blockchain, and secure routing protocols, the paper emphasizes the importance of creating resilient systems that can safeguard data integrity, ensure privacy, and protect against malicious activities. The analysis also considers the potential of large language models and AI techniques to advance cybersecurity measures and highlights emerging strategies for defense against evolving threats in smart cities and beyond.
 
Keywords: 
AI Systems; Cybersecurity; IOT; Machine Learning; Privacy
 
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