Deep Learning-Based Cyber Resilience Assessment for Ship Cyber security

Abstract

The concept of cyber resilience is a crucial demand in the maritime setting where the new generation of ships is fast becoming digitalized. Modern ships are the ones that are deeply dependent on modern technologies like built-in navigation systems, satellite communication systems, automated engine controls, cargo handling systems, and interlinked surveillance systems. Even though these innovations enhance efficiency, safety and operational performance, they put ships at risk of a broad spectrum of cybersecurity threats. The evil cyber activities have the effect of disrupting the navigation systems, manipulating the cargo information, interfering with the propulsion systems, and penetrating the onboard and external communication networks. Consequently, maritime safety and security have become inconceivable without cyber resilience, which is the ability to predict, sustain, recover, and adapt to cyber threats. The study presents a Convolutional Neural Network (CNN)-based system that is capable of improving cybersecurity within a maritime environment. The suggested solution focuses on real-time intrusion detection, proper classification of anomalies, and dynamically responsive threats. The system will be able to learn and draw out complex patterns in network traffic and sensor data automatically by using deep learning, especially CNNs, which removes the constraints of signature-based or rule-driven approaches. The model is also trained on dedicated maritime network images that comprise normal operation behavior as well as various cyberattack images which includes Distributed Denial of Service (DDoS), spoofing attacks, malware injection, and unauthorized access. Evidence-based findings suggest that the CNN-based model has a higher Detection rate, lower false positive rates, and lower response time than the traditional cybersecurity strategies. The system is also supportive of a layered defense architecture, and smoothly integrates with onboard ship control systems, and, allows automated mitigation approaches. In general, the research paper shows that AI-based cybersecurity applications have the potential to boost cyber resilience in maritime settings greatly, which will lead to the creation of safer, smarter, and more secure shipping processes.