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Secure credential monitor for safeguarding passenger accounts in smart rail systems.

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Title: Secure credential monitor for safeguarding passenger accounts in smart rail systems.
Authors: Yu, Xiaopeng1 (AUTHOR) www18829039173@163.com, Tang, Dianhua1,2 (AUTHOR) tangdianhua86@163.com
Source: Journal of Supercomputing. Jun2025, Vol. 81 Issue 9, p1-15. 15p.
Subjects: Railroad safety measures, Checks, Passengers, Railroads, Privacy
Abstract: Smart rail systems (SRS) are a comprehensive application of various intelligent technologies in railway transportation systems, which can effectively improve the safety and service of railway transportation. Unfortunately, as SRS maintains a large amount of valuable data, it is vulnerable to credential stuffing and tweaking attacks by hackers. Meanwhile, the current credential checking protocols lack the ability to effectively resist credential tweaking attacks. Therefore, this paper presents an efficient and secure credential monitor (CM) for safeguarding railway passenger accounts in SRS, which can remind railway passengers not to choose an account that is the same or similar to the leaked credentials. Compared with relevant protocol, our CM can reduce the time of railway passenger by 88 % with a slight increase ( 12 % ) in the time of monitoring platform. Meanwhile, the query report size and reply report size in our CM achieve 8 × improvement. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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PubTypeId: academicJournal
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  Data: Secure credential monitor for safeguarding passenger accounts in smart rail systems.
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  Data: <searchLink fieldCode="AR" term="%22Yu%2C+Xiaopeng%22">Yu, Xiaopeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> www18829039173@163.com</i><br /><searchLink fieldCode="AR" term="%22Tang%2C+Dianhua%22">Tang, Dianhua</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> tangdianhua86@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>. Jun2025, Vol. 81 Issue 9, p1-15. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Railroad+safety+measures%22">Railroad safety measures</searchLink><br /><searchLink fieldCode="DE" term="%22Checks%22">Checks</searchLink><br /><searchLink fieldCode="DE" term="%22Passengers%22">Passengers</searchLink><br /><searchLink fieldCode="DE" term="%22Railroads%22">Railroads</searchLink><br /><searchLink fieldCode="DE" term="%22Privacy%22">Privacy</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Smart rail systems (SRS) are a comprehensive application of various intelligent technologies in railway transportation systems, which can effectively improve the safety and service of railway transportation. Unfortunately, as SRS maintains a large amount of valuable data, it is vulnerable to credential stuffing and tweaking attacks by hackers. Meanwhile, the current credential checking protocols lack the ability to effectively resist credential tweaking attacks. Therefore, this paper presents an efficient and secure credential monitor (CM) for safeguarding railway passenger accounts in SRS, which can remind railway passengers not to choose an account that is the same or similar to the leaked credentials. Compared with relevant protocol, our CM can reduce the time of railway passenger by 88 % with a slight increase ( 12 % ) in the time of monitoring platform. Meanwhile, the query report size and reply report size in our CM achieve 8 × improvement. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Supercomputing is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s11227-025-07512-3
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 1
    Subjects:
      – SubjectFull: Railroad safety measures
        Type: general
      – SubjectFull: Checks
        Type: general
      – SubjectFull: Passengers
        Type: general
      – SubjectFull: Railroads
        Type: general
      – SubjectFull: Privacy
        Type: general
    Titles:
      – TitleFull: Secure credential monitor for safeguarding passenger accounts in smart rail systems.
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            NameFull: Yu, Xiaopeng
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            NameFull: Tang, Dianhua
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              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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              Value: 81
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              Value: 9
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            – TitleFull: Journal of Supercomputing
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