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Honey traps, fake ships and the Maritime Cyber-Attack Databse (MCAD)

Dive into the intriguing world of maritime cyber security with our latest Maritime Risk Podcast episode! Join us as we welcome Professor Stephen McCombie, an esteemed expert with a rich tapestry of experience spanning policing, academia, and the frontlines of cybercrime and digital forensics.

Episode 25  |  11 December 2023

In this captivating conversation, Stephen unveils the hidden depths of maritime cyber threats, sharing insights from his groundbreaking research and the development of the Maritime Cyber-Attack Database (MCAD).

Discover the shocking realities of cyber-attacks on the high seas today, from NATO ship location spoofing to ransomware incidents that have rocked the maritime industry.

Whether you're a cyber security aficionado, maritime enthusiast, or simply curious about maritime cyber threats, this episode is a must-listen. Tune in to Episode 25 of Shoreline’s Maritime Risk Podcast and embark on a voyage into the digital unknown – it's an episode you won't want to miss! 

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About the contributors

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Stephen Mccombie

Stephen's current research interests are in maritime cyber threats, cyber crime, digital forensics, cyber threat intelligence and cyber conflict. His research draws on a diverse background in policing, security and information technology. His PhD thesis examined the impact of Eastern European cyber crime groups on Australian banks. Over the last 20 years, he has held management roles with a number of organisations including IBM, National Australia Bank, and RSA Security and he has also been an active researcher and academic over that period. He currently works as a Professor of Maritime IT Security at NHL Stenden University of Applied Science. Researchers led by Stephen McCombie have recorded 160 incidents in this growing database, including the location spoofing of NATO ships visiting Ukraine in the Black Sea in 2021. Ernst & Young helped NHL Stenden to develop MCAD. The research team is asking corporations and other research institutions to contribute to the database.