JCAlgTest: Robust Identification Metadata for Certified Smartcards

P. Švenda, Rudolf Kvasnovský, Imrich Nagy, Antonín Dufka
{"title":"JCAlgTest: Robust Identification Metadata for Certified Smartcards","authors":"P. Švenda, Rudolf Kvasnovský, Imrich Nagy, Antonín Dufka","doi":"10.5220/0011294000003283","DOIUrl":null,"url":null,"abstract":": The certification of cryptographic smartcards under the Common Criteria or NIST FIPS140-2 is a well-established process, during which an evaluation facility validates the manufacturer’s claims and issues a product certificate. The tested card is usually identified by its name, type, ATR, and Card Production Life Cycle (CPLC) data. While sufficient to pair the purchased card to its original certificate when bought from a trust-worthy seller, such static metadata stored on the card can easily be manipulated. We extend the currently used card identification with a more descriptive set of metadata extracted from supported functionality, performance profiling, and properties of generated cryptographic keys. All of this information can be obtained directly by the evaluation facility, appended to the certificate, and later verified by the end-user with no need for any special knowledge or equipment, resulting in a better assurance about the purchased product. We developed a suite of open tools for the extraction of such characteristics and collected results for a set of more than 100 different smartcards. The database, openly available, demonstrates the significant variability in the measured properties and allows us to estimate the trends in support of different cryptographic algorithms as provided by the JavaCard platform.","PeriodicalId":74779,"journal":{"name":"SECRYPT ... : proceedings of the International Conference on Security and Cryptography. International Conference on Security and Cryptography","volume":"541 1","pages":"597-604"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SECRYPT ... : proceedings of the International Conference on Security and Cryptography. International Conference on Security and Cryptography","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5220/0011294000003283","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

: The certification of cryptographic smartcards under the Common Criteria or NIST FIPS140-2 is a well-established process, during which an evaluation facility validates the manufacturer’s claims and issues a product certificate. The tested card is usually identified by its name, type, ATR, and Card Production Life Cycle (CPLC) data. While sufficient to pair the purchased card to its original certificate when bought from a trust-worthy seller, such static metadata stored on the card can easily be manipulated. We extend the currently used card identification with a more descriptive set of metadata extracted from supported functionality, performance profiling, and properties of generated cryptographic keys. All of this information can be obtained directly by the evaluation facility, appended to the certificate, and later verified by the end-user with no need for any special knowledge or equipment, resulting in a better assurance about the purchased product. We developed a suite of open tools for the extraction of such characteristics and collected results for a set of more than 100 different smartcards. The database, openly available, demonstrates the significant variability in the measured properties and allows us to estimate the trends in support of different cryptographic algorithms as provided by the JavaCard platform.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
JCAlgTest:认证智能卡的健壮识别元数据
根据通用标准或NIST FIPS140-2对加密智能卡进行认证是一个完善的过程,在此过程中,评估机构会验证制造商的声明并颁发产品证书。测试卡通常通过其名称、类型、ATR和卡生产生命周期(CPLC)数据来识别。虽然从值得信赖的卖家那里购买的卡足以与其原始证书配对,但存储在卡上的此类静态元数据很容易被操纵。我们使用从支持的功能、性能分析和生成的加密密钥的属性中提取的更具描述性的元数据集扩展当前使用的卡片标识。所有这些信息都可以通过评估机构直接获得,并附加到证书中,随后由最终用户验证,无需任何特殊知识或设备,从而更好地保证购买的产品。我们开发了一套用于提取这些特征的开放工具,并为100多种不同的智能卡收集了结果。该数据库是公开可用的,它展示了测量属性的显著可变性,并允许我们估计JavaCard平台提供的不同加密算法的支持趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Illicit Darkweb Classification via Natural-language Processing: Classifying Illicit Content of Webpages based on Textual Information When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning SQLi Detection with ML: A data-source perspective Combining Generators of Adversarial Malware Examples to Increase Evasion Rate CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1