Cybersecurity Considerations for the Design of an AI-Driven Distributed Optimization of Container Carbon Emissions Reduction for Freight Operations

Paternina-Arboleda, Carlos; Nestler, Alexander; Kascak, Nicholas; Pour, Morteza Safaei

doi:10.1007/978-3-031-43612-3_4

Cited by 2 publications

References 29 publications

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Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

Durlik,

Miller,

Kostecka

et al. 2024

Applied Sciences

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The maritime industry, responsible for moving approximately 90% of the world’s goods, significantly contributes to environmental pollution, accounting for around 2.5% of global greenhouse gas emissions. This review explores the integration of artificial intelligence (AI) in promoting sustainability within the maritime sector, focusing on shipping and port operations. By addressing emissions, optimizing energy use, and enhancing operational efficiency, AI offers transformative potential for reducing the industry’s environmental impact. This review highlights the application of AI in fuel optimization, predictive maintenance, route planning, and smart energy management, alongside its role in autonomous shipping and logistics management. Case studies from Maersk Line and the Port of Rotterdam illustrate successful AI implementations, demonstrating significant improvements in fuel efficiency, emission reduction, and environmental monitoring. Despite challenges such as high implementation costs, data privacy concerns, and regulatory complexities, the prospects for AI in the maritime industry are promising. Continued advancements in AI technologies, supported by collaborative efforts and public–private partnerships, can drive substantial progress towards a more sustainable and efficient maritime industry.

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Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

Durlik,

Miller,

Kostecka

et al. 2024

Applied Sciences

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Cybersecurity Importance for Logistic Industries Using Generative AI

Tayyab,

Muzammal,

Jhanjhi

et al. 2024

Advances in Human and Social Aspects of Technology

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The logistics industry is rapidly transforming, driven by emerging technologies and evolving cybersecurity threats. These threats have also affected the industries financially on one side but also fined some of the most reputed industries due to poor quality supplied to the customers. Many cybersecurity threats have also been reported. However, due to the usage of cloud services, many more threats have been opened to this industry. Therefore, this study explores the complex relationship between logistics and cybersecurity, highlighting the industry's challenges and opportunities. The adoption of technologies like the Internet of Things (IoT), cloud computing, and artificial intelligence offers new possibilities for efficiency and visibility, but also introduces cybersecurity vulnerabilities that must be addressed. From securing supply chains to implementing advanced encryption and access control, logistics companies are navigating a dynamic landscape that demands proactive cybersecurity measures. Furthermore, this study underscores the importance of staying informed about emerging threats and trends while adopting innovative solutions to protect data, operations, and customer trust in an interconnected world.

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Cybersecurity Considerations for the Design of an AI-Driven Distributed Optimization of Container Carbon Emissions Reduction for Freight Operations

Cited by 2 publications

References 29 publications

Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

Cybersecurity Importance for Logistic Industries Using Generative AI

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