Folder

📁 CSP007 S M A

Location

CyberSecPro

Contents

0 sub-folders
12 files | 7.88 MB

Description

This folder contains a comprehensive collection of research documents on artificial intelligence and cybersecurity in the maritime sector, available in English, Greek, and Italian. The materials cover vulnerabilities in communication systems, the integration of AI, and various attack scenarios, along with preventive measures and strategies for enhancing cybersecurity resilience in maritime operations. AI generated

• AI Maritime Sec - Topic 01 English.pdf (211.60 KB)
  This document presents a detailed overview of artificial intelligence and cybersecurity research within the maritime sector. It includes discussions on tracking and identification protocols such as AIS and LRIT, emergency communication systems like GMDSS and Inmarsat, along with documented vulnerabilities affecting these systems, emphasizing potential security risks. Various vulnerabilities with specific CVEs are listed, providing insights into risks associated with maritime cybersecurity. AI generated
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• AI Maritime Sec - Topic 01 Greek.pdf (416.84 KB)
  This document is a presentation in Greek focusing on maritime cybersecurity. It covers protocols for maritime communication monitoring, such as the Automatic Identification System (AIS) and Long-Range Identification and Tracking (LRIT), and addresses emergency communication systems like GMDSS. It also discusses vulnerabilities in the communication systems of Cobham and Inmarsat, detailing specific security issues and their potential impacts. AI generated
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• AI Maritime Sec - Topic 01 Italian.pdf (1.24 MB)
  This document is a presentation by Stylianos Karagiannis focusing on artificial intelligence and cybersecurity within the maritime sector. It discusses tracking protocols like AIS and LRIT, emergency communication systems such as GMDSS, and identifies vulnerabilities in systems like Cobham and Inmarsat, including specific vulnerabilities and their potential implications, as noted on pages 4 and 5. The final page includes contact information for further inquiries. AI generated
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• AI Maritime Sec - Topic 02 English.pdf (207.88 KB)
  This document, titled "AI and Cybersecurity: Research in Maritime," presents insights on the integration of AI within the maritime industry, highlighting its operational benefits and cybersecurity vulnerabilities. It contrasts adversarial AI and defensive AI, detailing strategies for safeguarding systems against cyber threats, and discusses applications of AI in navigation, fuel consumption tracking, and equipment maintenance (pages 2-6). AI generated
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• AI Maritime Sec - Topic 02 Greek.pdf (529.79 KB)
  This document discusses the intersection of artificial intelligence (AI) and cybersecurity in the maritime industry. It explores how AI enhances efficiency while also introducing cybersecurity vulnerabilities. Key topics include offensive and defensive AI strategies (pages 3-5), AI applications in navigation, fuel management, equipment maintenance, and port movement optimization (page 6). It also highlights the importance of AI in combating cyber threats and improving operational resilience. AI generated
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• AI Maritime Sec - Topic 02 Italian.pdf (1.24 MB)
  This document discusses the role of artificial intelligence (AI) in maritime cybersecurity. It covers essential elements such as the reliance of the maritime industry on digital technologies and the associated cybersecurity challenges. Key topics include adversarial and defensive AI, threat identification, and strategies for enhancing cybersecurity resilience. Additionally, it highlights specific applications of AI in areas such as navigation optimization, fuel consumption tracking, and equipmen… AI generated
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• AI Maritime Sec - Topic 03 English.pdf (211.05 KB)
  This document presents a detailed overview of AI and cybersecurity research in the maritime sector. It covers topics such as model inversion and perturbation attacks, dataset poisoning of AIS data, and the RadarPWN dataset. The material includes various attack scenarios, their implications for AI systems, and how this data can be used for training and validating cybersecurity measures in maritime environments. Key insights are provided through images and diagrams showcasing the attack techniques… AI generated
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• AI Maritime Sec - Topic 03 Greek.pdf (528.71 KB)
  This document discusses artificial intelligence (AI) and cybersecurity in the maritime industry, focusing on cyber threats such as model inversion and data poisoning attacks. It includes detailed descriptions of risks associated with Artificial Intelligence Systems (AIS), as well as an overview of RadarPWN, a dataset for simulating and testing radar communication attacks. The presentation also emphasizes the importance of AI in enhancing cybersecurity measures for maritime operations. AI generated
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• AI Maritime Sec - Topic 03 Italian.pdf (1.24 MB)
  This document discusses the intersection of artificial intelligence (AI) and cybersecurity within the maritime domain. It covers topics such as model inversion attacks, AIS data poisoning, and the RadarPWN dataset, which facilitates training AI models to detect radar communication attacks. The content is presented by Stylianos Karagiannis from PDMFC, Portugal, and includes practical applications, methodologies, and the significance of safeguarding maritime AI systems. AI generated
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• AI Maritime Sec - Topic 04 English.pdf (253.71 KB)
  This document presents research on AI and cybersecurity in maritime contexts, focusing on vulnerabilities associated with maritime transport systems, particularly satellite communication devices like the SAILOR 900 VSAT. It outlines identified vulnerabilities, preventive measures against hacking, and utilizes the MITRE ATT&CK framework to discuss adversarial tactics specific to maritime operations. The content includes examples of cyber threats, tactics, and the implications of successful attack… AI generated
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• AI Maritime Sec - Topic 04 Greek.pdf (582.91 KB)
  This document discusses the intersection of artificial intelligence and cybersecurity within the maritime industry. It addresses vulnerabilities in maritime transportation systems, particularly focusing on the SAILOR 900 VSAT satellite communication device and related cybersecurity risks. The document outlines various cyber threats, mitigation strategies, and the application of the MITRE ATT&CK framework to identify and manage potential cyberattacks in maritime operations. AI generated
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• AI Maritime Sec - Topic 04 Italian.pdf (1.29 MB)
  This document presents an analysis of cybersecurity vulnerabilities in maritime transport systems, focusing on the SAILOR 900 VSAT technology. It details identified vulnerabilities, preventive measures, and frameworks like MITRE ATT&CK applicable to maritime scenarios. The content includes discussions on hacking techniques, tactics used by cybercriminals in maritime settings, and measures for strengthening cybersecurity. AI generated
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Acronym

CyberSecPro

Title

Collaborative, Multi-modal and Agile Professional Cybersecurity Training Program for A Skilled Workforce In the European Digital Single Market and Industries

Description

CyberSecPro promotes a conceptual disruptive approach with regards to existing approaches to training solutions. The project contributes to the broader need for cybersecurity marketing skills and technical/practical capabilities.
CyberSecPro aims to upskill and develop a workforce capable of overcoming the increasing security challenges that will burden innovation and excellence. This overarching goal can be achieved with the methodology adopted in the CyberSecPro project.
Further, the project utilises the processes developed within many EU Cybersecurity pilot projects and adppts relevant EU innovation and development work:

CyberSecPro will drive the HEIs to further enhance their cooperation with the private sector, in order to become the main suppliers of the necessary market-oriented cybersecurity skills and working-life practices required in the digital transformation, via providing hands-on trainings.

Project Reference Code/ID

N/A

Level

N/A

Copyright license

N/A

Materials

747 files | 8.38 GB

Last updated

05/2026

Download Statistics

964 file downloads | 10.02 GB