<p>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 <InlineEquation ID="IEq1"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11227_2025_7512_Article_IEq1.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="31" /> </InlineMediaObject> <EquationSource Format="TEX">$88 \%$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>88</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation> with a slight increase (<InlineEquation ID="IEq2"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11227_2025_7512_Article_IEq2.gif" Format="GIF" Height="16" Rendition="HTML" Resolution="72" Type="Linedraw" Width="31" /> </InlineMediaObject> <EquationSource Format="TEX">$12 \%$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>12</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation>) in the time of monitoring platform. Meanwhile, the query report size and reply report size in our CM achieve <InlineEquation ID="IEq3"> <InlineMediaObject> <ImageObject Color="BlackWhite" FileRef="11227_2025_7512_Article_IEq3.gif" Format="GIF" Height="14" Rendition="HTML" Resolution="72" Type="Linedraw" Width="26" /> </InlineMediaObject> <EquationSource Format="TEX">$8\times$</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>8</mn> <mo>×</mo> </mrow> </math></EquationSource> </InlineEquation> improvement.</p>

Secure credential monitor for safeguarding passenger accounts in smart rail systems

期刊论文
发表日期：

2025年6月16日

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Xiaopeng Yu,
Dianhua Tang

摘要

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 $88 \%$ $88 %$ with a slight increase ( $12 \%$ $12 %$ ) in the time of monitoring platform. Meanwhile, the query report size and reply report size in our CM achieve $8\times$ $8 \times$ improvement.