Book chapter · Conference paper
CyberShip: An SDN-based Autonomic Attack Mitigation Framework for Ship Systems
Department of Applied Mathematics and Computer Science, Technical University of Denmark1
Cyber Security, Department of Applied Mathematics and Computer Science, Technical University of Denmark2
Department of Management Engineering, Technical University of Denmark3
Management Science, Department of Management Engineering, Technical University of Denmark4
Operations Management, Management Science, Department of Management Engineering, Technical University of Denmark5
Copenhagen Center for Health Technology, Centers, Technical University of Denmark6
The use of Information and Communication Technology (ICT) in the ship communication network brings new security vulnerabilities and make communication links a potential target for various kinds of cyber physical attacks, which results in the degradation of the performance. Moreover, crew members are burdened with the task of configuring the network devices with low-level device specific syntax for mitigating the attacks.
Heavy reliance on the crew members and additional software and hardware devices makes the mitigation difficult and time consuming process. Recently, the emergence of Software-Defined Networking (SDN) offers a solution to reduce the complexity in the network management tasks. To explore the advantages of using SDN, we propose a framework based on SDN and a use case to mitigate the attacks in an automated way for improved resilience in the ship communication network.
Language: | English |
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Publisher: | Springer |
Year: | 2018 |
Pages: | 191-198 |
Proceedings: | 1st International Conference on Science of Cyber Security |
Series: | Lecture Notes in Computer Science |
Journal subtitle: | First International Conference, Scisec 2018, Beijing, China, August 12-14, 2018, Revised Selected Papers |
ISBN: | 3030030253 , 3030030261 , 9783030030254 and 9783030030261 |
ISSN: | 16113349 and 03029743 |
Types: | Book chapter and Conference paper |
DOI: | 10.1007/978-3-030-03026-1_14 |
ORCIDs: | Sepúlveda Estay, Daniel Alberto , Meng, Weizhi , Jensen, Christian D. and Barfod, Michael Bruhn |