Vessels Cybersecurity: Issues, Challenges, and the Road Ahead
March 04, 2020 Β· Declared Dead Β· π IEEE Communications Magazine
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Maurantonio Caprolu, Roberto Di Pietro, Simone Raponi, Savio Sciancalepore, Pietro Tedeschi
arXiv ID
2003.01991
Category
cs.CR: Cryptography & Security
Citations
63
Venue
IEEE Communications Magazine
Last Checked
5 months ago
Abstract
Vessels cybersecurity is recently gaining momentum, as a result of a few recent attacks to vessels at sea. These recent attacks have shacked the maritime domain, which was thought to be relatively immune to cyber threats. The cited belief is now over, as proved by recent mandates issued by the International Maritime Organization (IMO). According to these regulations, all vessels should be the subject of a cybersecurity risk analysis, and technical controls should be adopted to mitigate the resulting risks. This initiative is laudable since, despite the recent incidents, the vulnerabilities and threats affecting modern vessels are still unclear to operating entities, leaving the potential for dreadful consequences of further attacks just a matter of "when", not "if". In this contribution, we investigate and systematize the major security weaknesses affecting systems and communication technologies adopted in modern vessels. Specifically, we describe the architecture and main features of the different systems, pointing out their main security issues, and specifying how they were exploited by attackers to cause service disruption and relevant financial losses. We also identify a few countermeasures to the introduced attacks. Finally, we highlight a few research challenges to be addressed by industry and academia to strengthen vessels security.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Cryptography & Security
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
The Limitations of Deep Learning in Adversarial Settings
R.I.P.
π»
Ghosted
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
R.I.P.
π»
Ghosted
Spectre Attacks: Exploiting Speculative Execution
R.I.P.
π»
Ghosted
How To Backdoor Federated Learning
R.I.P.
π»
Ghosted
Evasion Attacks against Machine Learning at Test Time
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted