Information Security and Privacy in Railway Transportation: A Systematic Review.
cybersecurity
intelligent transportation systems
literature review
privacy
railway transportation
security
train
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
11 Oct 2022
11 Oct 2022
Historique:
received:
30
08
2022
revised:
30
09
2022
accepted:
05
10
2022
entrez:
27
10
2022
pubmed:
28
10
2022
medline:
29
10
2022
Statut:
epublish
Résumé
Intelligent transportation systems will play a key role in the smart cities of the future. In particular, railway transportation is gaining attention as a promising solution to cope with the mobility challenges in large urban areas. Thanks to the miniaturisation of sensors and the deployment of fast data networks, the railway industry is being augmented with contextual, real-time information that opens the door to novel and personalised services. Despite the benefits of this digitalisation, the high complexity of railway transportation entails a number of challenges, particularly from security and privacy perspectives. Since railway assets are attractive targets for terrorism, coping with strong security and privacy requirements such as cryptography and privacy-preserving methods is of utmost importance. This article provides a thorough systematic literature review on information security and privacy within railway transportation systems, following the well-known methodology proposed by vom Brocke et al. We sketch out the most relevant studies and outline the main focuses, challenges and solutions described in the literature, considering technical, societal, regulatory and ethical approaches. Additionally, we discuss the remaining open issues and suggest several research lines that will gain relevance in the years to come.
Identifiants
pubmed: 36298049
pii: s22207698
doi: 10.3390/s22207698
pmc: PMC9611636
pii:
doi:
Types de publication
Systematic Review
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Government of Catalonia
ID : 2020PANDE00103
Organisme : Government of Spain
ID : RTI2018-095499-B-C32
Organisme : European Commission
ID : 832735 - LOCARD
Organisme : European Commission
ID : COST action 19121
Organisme : Rovira i Virgili University
ID : 07GI2119
Organisme : Government of Catalonia
ID : 2017-SGR-896
Références
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pubmed: 35161675
PLoS One. 2020 Oct 29;15(10):e0240963
pubmed: 33119629
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pubmed: 27637472
Sensors (Basel). 2017 Jun 21;17(6):
pubmed: 28635672
Sensors (Basel). 2021 Oct 17;21(20):
pubmed: 34696099
Sensors (Basel). 2018 Apr 16;18(4):
pubmed: 29659524