The DBLP Computer Science Bibliography is one of the world’s largest open bibliographic databases, indexing millions of research papers, conference proceedings and journal articles in computer science. While DBLP is primarily focused on computing disciplines, its resources are highly relevant to the maritime sector, especially in advancing maritime education and driving maritime security innovations.

In maritime education, DBLP provides access to scholarly work on simulation technologies, artificial intelligence and data visualization that can be applied to ship stability training, port logistics and navigation systems. These resources enrich curricula, support professional training and ensure that maritime learners engage with the latest computational methods.

For maritime security, DBLP offers research insights into cybersecurity, blockchain applications for shipping and intelligent monitoring systems. By connecting maritime professionals to cutting‑edge computer science research, DBLP helps address challenges such as piracy prevention, cyber resilience in port operations and the protection of global supply chains.

Through DBLP, the maritime community gains access to a global knowledge base that bridges computer science and ocean industries. This open‑access platform empowers educators, researchers and practitioners to innovate, collaborate and strengthen maritime systems for a safer and more sustainable future.

Key Resource Areas from DBLP

• Simulation & Modeling – Computational methods for ship stability and training environments
• Port Logistics Optimization – Algorithms for scheduling, cargo handling and efficiency
• Cybersecurity Research – Protecting maritime networks and digital infrastructure
• Blockchain & Data Integrity – Securing shipping records and supply chain transparency
• AI & Machine Learning – Intelligent navigation, predictive maintenance and risk assessment