微信服务号

微信订阅号

2025-5-11- 15
Home > Archive>Volume 32, Issue 9, 2021 >2887-2900. DOI:10.13328/j.cnki.jos.005976
PDF HTML XML Export Cite reminder
Cryptographic Algorithms Against Backdoored Pseudorandom Number Generator
Author:
Affiliation:

Clc Number:

TP309

Fund Project:

National Natural Science Foundation of China (2017YFB0802000); National Natural Science Foundation of China (61972159, 61572198); Dean's Fund of Engineering Research Center of Software/Hardware Co-design Technology and Application, Ministry of Education (East China Normal University)

  • Article
    • | |
  • Metrics
    • |
  • Reference
    • |
  • Related
    • |
  • Cited by
    • | |
  • Comments
    Abstract:

    So far, the security of the most of the cryptographic primitives depends on the high-quality and unpredictable randomness. In cryptography, the pseudorandom number generator (PRNG) is used to generate randomness. Thus, the security of the PRNG will directly impact the security of cryptographic algorithms. However, there have been some reports showing that many human factors can lead to the failure randomness generated by the PRNG which is referred to as the backdoored pseudorandom number generator (BPRNG). A good example of this BPRNG is the dual elliptic curves PRNG (Dual EC PRNG) which has been exposed to generate bad randomness. With the emerging of BPRNG, new challenges will be confronted with the study of cryptographic algorithms. Therefore, it is important to investigate the cryptographic primitives against the BPRNG. This study first reviews the research background of the cryptographic primitives against the BPRNG, and then summarizes the existing schemes in this field.

    Reference
    Related
    Cited by
Get Citation

康步荣,张磊,张蕊,孟欣宇,陈桐.抗随机数后门攻击的密码算法.软件学报,2021,32(9):2887-2900

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:July 11,2019
  • Revised:September 28,2019
  • Online: September 15,2021
  • Published: September 06,2021
Links:Institute of Software, CASChina Computer FederationCASNSFC
You are the first2043794Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-4
Address：4# South Fourth Street, Zhong Guan Cun, Beijing 100190,Postal Code：100190
Phone：010-62562563 Fax：010-62562533 Email：jos@iscas.ac.cn
Technical Support：Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063