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PoliCT: Flexible Policy in Certificate Transparency Enabling Lightweight Self-monitor

  • Aozhuo Sun
  • , Bingyu Li
  • , Huiqing Wan
  • , Qiongxiao Wang*
  • *此作品的通讯作者
  • CAS - Institute of Information Engineering
  • CAS - Data Assurance and Communication Security
  • University of Chinese Academy of Sciences

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Certificate Transparency (CT) is proposed to detect maliciously or mistakenly issued certificates by recording all certificates in publicly-visible logs. CT assumes that any individual can undertake the role of a CT monitor which fetches all the certificates in the logs and discovers suspicious ones from them. However, studies in recent years shows that ordinary individuals have to pay an unbearable price to operate a monitor by themselves, which makes the originally distributed trust be concentrated on several third-party monitors. Unfortunately, some researches indicate that problems of timeliness, security, and reliability exist in third-party monitors. In this paper, we propose the PoliCT, a flexible and customizable certificate transparency management solution where domain owners can designate how their certificates should be submitted and validated. It enables domain owners (a) to release their CT policies to monitor a few logs purposefully, thereby greatly reducing monitoring costs; (b) to demand more SCTs to increase the transparency of their certificates. After that, we discuss the design of a reliable lightweight self-monitor in detail. Expectably, the actual data collection and the theoretical analysis of the prototype system show that PoliCT enables a common individual to maintain its CT policies with negligible overhead, and significantly improves the performance of monitoring service.

源语言英语
主期刊名Applied Cryptography and Network Security Workshops - ACNS 2021 Satellite Workshops, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S and P, SCI, SecMT, and SiMLA, 2021, Proceedings
编辑Jianying Zhou, Chuadhry Mujeeb Ahmed, Lejla Batina, Sudipta Chattopadhyay, Olga Gadyatskaya, Chenglu Jin, Jingqiang Lin, Eleonora Losiouk, Bo Luo, Suryadipta Majumdar, Mihalis Maniatakos, Daisuke Mashima, Weizhi Meng, Stjepan Picek, Masaki Shimaoka, Chunhua Su, Cong Wang
出版商Springer Science and Business Media Deutschland GmbH
358-377
页数20
ISBN(印刷版)9783030816445
DOI
出版状态已出版 - 2021
活动satellite workshops held around the 19th International Conference on Applied Cryptography and Network Security, ACNS 2021, 3rd International Workshop on Application Intelligence and Blockchain Security, AIBlock 2021, 2nd International Workshop on Artificial Intelligence in Hardware Security, AIHWS 2021, 3rd International Workshop on Artificial Intelligence and Industrial IoT Security, AIoTS 2021, 1st International Workshop on Critical Infrastructure and Manufacturing System Security, CIMSS 2021, 3rd International Workshop on Cloud Security and Privacy, Cloud S and P 2021, 2nd International Workshop on Secure Cryptographic Implementation, SCI 2021, 2nd International Workshop on Security in Mobile Technologies, SecMT 2021, 3rd International Workshop on Security in Machine Learning and its Applications, SiMLA 2021 - Virtual, Online
期限: 21 6月 202124 6月 2021

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
12809 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议satellite workshops held around the 19th International Conference on Applied Cryptography and Network Security, ACNS 2021, 3rd International Workshop on Application Intelligence and Blockchain Security, AIBlock 2021, 2nd International Workshop on Artificial Intelligence in Hardware Security, AIHWS 2021, 3rd International Workshop on Artificial Intelligence and Industrial IoT Security, AIoTS 2021, 1st International Workshop on Critical Infrastructure and Manufacturing System Security, CIMSS 2021, 3rd International Workshop on Cloud Security and Privacy, Cloud S and P 2021, 2nd International Workshop on Secure Cryptographic Implementation, SCI 2021, 2nd International Workshop on Security in Mobile Technologies, SecMT 2021, 3rd International Workshop on Security in Machine Learning and its Applications, SiMLA 2021
Virtual, Online
时期21/06/2124/06/21

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