Title
Novel Security Models, Metrics And Security Assessment Networks
Abstract
In the past few years, maritime vessels have become computerized and connected to the internet. However, with this technology, critical systems based on-board ships that manage the vessel's navigation system, radar, cargo management system, etc have become more prone to cyber-attacks. Moreover, attackers are now becoming aware of the vulnerabilities associated with such maritime vessel systems. As a result, it is of vital importance to manage and secure the maritime vessel networks against cyber-attacks, but there is a lack of capabilities to efficiently manage the identifications of vulnerabilities, security risk assessment, and evaluate the effectiveness of countermeasures. Hence, we propose a novel framework and security risk modeling and assessment method to evaluate the security of maritime vessel networks. We develop (1) a security model for maritime vessels to capture probabilistic events, vulnerabilities, and network configurations of vessel components; (2) propose an approach to assess the network with a single function, multiple functions, and the inter-dependencies between the functions as attack goal(s); (3) adopt three well-defined security metrics with the proposed model to evaluate possible attacks and/or threats; and (4) compare the effectiveness of cyberdefense strategies based on different attack scenarios on the maritime vessel network. Besides, we perform sensitivity analysis based on temporal and permanent connections that are associated with the vessels' systems to understand the effect of the connections on security. Our results demonstrate the applicability and usability of the proposed model for finding potential attack paths, assessing security, and mitigating the impact of cyber-attacks and threats on a vessel network.
Year
DOI
Venue
2021
10.1016/j.comnet.2021.107934
COMPUTER NETWORKS
Keywords
DocType
Volume
Cyber-attacks, Maritime vessels, Security analysis, Security metrics, Security models
Journal
189
ISSN
Citations 
PageRank 
1389-1286
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Simon Enoch Yusuf1104.59
Jang Se Lee200.34
Dong Seong Kim386693.34