Article(id=1318999723990696248, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999703161782439, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1672-6073.2025.04.016, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1738944000000, receivedDateStr=2025-02-08, revisedDate=1740758400000, revisedDateStr=2025-03-01, acceptedDate=null, acceptedDateStr=null, onlineDate=1792403640028, onlineDateStr=2026-10-19, pubDate=1754755200000, pubDateStr=2025-08-10, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792403640028, onlineIssueDateStr=2026-10-19, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792403640028, creator=13701087609, updateTime=1792403640028, updator=13701087609, issue=Issue{id=1318999703161782439, tenantId=1146029695717560320, journalId=1146123302524792850, year='2025', volume='38', issue='4', pageStart='1', pageEnd='159', issueExtLink='null', onlineDate='null', pubDate='1754755200000', pubDateStr='2025-08-10', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792403635062, creator='13701087609', updateTime=1792733364265, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1320382687735558277, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999703161782439, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1320382687735558278, tenantId=1146029695717560320, journalId=1146123302524792850, issueId=1318999703161782439, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=117, endPage=124, ext={EN=ArticleExt(id=1318999725219627322, articleId=1318999723990696248, tenantId=1146029695717560320, journalId=1146123302524792850, language=EN, title=Drone Authentication and Intelligent Monitoring Solutions for Rail Transit Equipment Based on Super SIM Card and Blinded ECDSA Technology, columnId=1152669334582243706, journalTitle=Urban Rapid Rail Transit, columnName=Electrical and Mechanical Engineering, runingTitle=null, highlight=null, articleAbstract=

To meet the demand for efficient, low-power, and secure authentication mechanisms in the safety monitoring and maintenance of rail transit equipment, this study systematically investigates the implementation of cross-domain identity authentication. First, a system architecture is designed using a super SIM card as the identity carrier, combined with Bluetooth Low Energy (BLE) technology for rapid data exchange between devices. Second, a high-efficiency anonymous identity authentication scheme integrating a blinded ECDSA algorithm is proposed. Finally, the proposed scheme is compared with supervised anonymous authentication schemes and other traditional authentication algorithms regarding computation and communication overheads. The results indicate that, compared to NIST-standard-based ECDSA and traditional ECC algorithms, the proposed scheme demonstrates superior performance in signature generation with the shortest overall runtime. Additionally, authentication efficiency is improved by 43.8% compared to supervised anonymous authentication schemes, verifying the effectiveness and feasibility of the proposed approach. These findings provide a valuable reference for intelligent security monitoring and maintenance of equipment in low-altitude economic sectors and the rail transit field.

, authors=Lingnan KONG¹, Guodong FENG¹, Zhendong QIAN¹, Pengxuan SUN², authorsList=Lingnan KONG, Guodong FENG, Zhendong QIAN, Pengxuan SUN, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1318999725722943804, articleId=1318999723990696248, tenantId=1146029695717560320, journalId=1146123302524792850, language=CN, title=基于超级SIM卡与盲化ECDSA的轨道交通无人机智能检测与认证方案, columnId=1152669334955536763, journalTitle=都市快轨交通, columnName=机电工程, runingTitle=null, highlight=null, articleAbstract=

为满足轨道交通设备安全监测与维护过程中高效、低功耗且安全的认证机制需求，本文对跨域身份认证的实现展开系统研究。设计一种以超级SIM卡为身份载体、结合低功耗蓝牙技术实现设备间快速数据交互的系统架构，在此基础上提出一种融合盲化椭圆曲线数字签名算法（elliptic curve digital signature algorithm，ECDSA）的高效匿名身份认证方案，并将该方案与可监管匿名认证方案等现有方法在计算和通信开销方面进行对比。研究结果表明：与基于NIST标准的ECDSA和传统椭圆曲线密码（elliptic curve cryptography，ECC）算法相比，本文方案在签名生成阶段表现更优，综合运行时间最短；相比可监管匿名认证方案，在认证效率方面提升43.8%，验证了本文方案的有效性和可行性。研究结果可为低空经济与轨道交通领域设备的智能化安全监测与维护提供参考。

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孔令南，男，硕士，主要从事轨道交通设备通信研究工作，KongL1ngNan@163.com

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孔令南，男，硕士，主要从事轨道交通设备通信研究工作，KongL1ngNan@163.com

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