• Hurmat Shahin

The integration of Artificial Intelligence (AI) in smart surveillance and traffic management systems has enhanced urban security and transportation efficiency. However, these advancements expose critical infrastructures to cyber threats. This pilot study investigates AI-driven cybersecurity solutions tailored to secure smart surveillance and traffic management systems in Jamshedpur, India. It explores the cybersecurity vulnerabilities in these systems, assesses the effectiveness of AI in mitigating risks, and provides recommendations for a robust security framework. With the rapid adoption of AI-driven smart surveillance and traffic management systems in Jamshedpur, cybersecurity has become a critical concern. These systems are vulnerable to unauthorized access, data breaches, adversarial AI attacks, and sensor spoofing, posing significant risks to urban security and traffic efficiency. This study evaluates the cybersecurity challenges faced by Jamshedpur’s smart infrastructure and proposes AI-powered security solutions to mitigate these threats. Through penetration testing, adversarial attack simulations, and AI-based security assessments, findings reveal that existing security measures are inadequate, with high risks of cyber intrusions. The study implemented AI-driven Intrusion Detection Systems (IDS), blockchain-based data security, adversarial AI defenses, and automated threat response mechanisms to enhance system protection. Results showed that threat detection accuracy improved to 89%, adversarial attack misclassification rates dropped from 28% to 7%, and cybersecurity response time improved by 45%. Despite these advancements, challenges such as high computational costs, AI biases, and the need for continuous monitoring persist. The study recommends lightweight AI models, bias reduction techniques, blockchain integration, and policy-driven cybersecurity frameworks for long-term security. By adopting these solutions, Jamshedpur can strengthen its smart city resilience and serve as a model for AI-driven cybersecurity in urban infrastructure worldwide.

PILOT STUDY ON AI-DRIVEN CYBERSECURITY SOLUTIONS FOR SECURING SMART SURVEILLANCE AND TRAFFIC MANAGEMENT SYSTEMS IN JAMSHEDPUR

"PILOT STUDY ON AI-DRIVEN CYBERSECURITY SOLUTIONS FOR SECURING SMART SURVEILLANCE AND TRAFFIC MANAGEMENT SYSTEMS IN JAMSHEDPUR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.i152-i164, December-2023, Available :http://www.jetir.org/papers/JETIR2312818.pdf

"PILOT STUDY ON AI-DRIVEN CYBERSECURITY SOLUTIONS FOR SECURING SMART SURVEILLANCE AND TRAFFIC MANAGEMENT SYSTEMS IN JAMSHEDPUR", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. ppi152-i164, December-2023, Available at : http://www.jetir.org/papers/JETIR2312818.pdf