Adaptive Security Framework Integrated Anomaly Detection for Automated Seaports

The increasing automation of maritime ports introduces complex cybersecurity challenges that conventional industrial control system protections fail to address. This paper proposes a cybersecurity framework for automated ports integrating real-time anomaly detection, adaptive risk scoring, and safety-constrained response optimization. The system demonstrates 92.7% detection rates and 2.3% false positive rate, enabled by continuous Bayesian updates and quantile regression. Results validate effective protection for port automation systems against evolving cyber-physical threats without disrupting critical operations.