Computer Science

Computer Science ›› 2023, Vol. 50 ›› Issue (7): 302-307.doi: 10.11896/jsjkx.220600067

• Information Security • Previous Articles     Next Articles

Analysis and Improvement on Identity-based Remote Data Integrity Verification Scheme

WANG Shaohui, ZHAO Zhengyu, WANG Huaqun, XIAO Fu   

  1. 1 School of Computer Science,Nanjing University of Posts & Telecommunications,Nanjing 210003,China
    2 Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks,Nanjing 210003,China
  • Received:2022-06-07 Revised:2022-12-12 Online:2023-07-15 Published:2023-07-05
  • About author:WANG Shaohui,born in 1977,Ph.D,vice-professor.His main research intere-sts include information security and applied cryptography.
  • Supported by:
    National Natural Science Foundation of China(61872192).

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Abstract: Cloud storage services enable individuals or enterprises to easily maintain and manage large amounts of data at a low cost,but they cannot guarantee the integrity and privacy of outsourced data at the same time.The remote data integrity verification schemes allow users to verify the integrity of outsourced data without downloading all the data,that is,the cloud server can prove to the verifier that it is actually store the user′s data honestly.The security of an identity-based privacy preserving remote data integrity verification scheme proposed by Li et al.is analyzed.The analysis shows that the scheme is subjected to forgery attack,that is,the cloud server only needs to store a small amount of data to generate legitimate data integrity proof.Based on Li et al.’s scheme,a new identity-base remote data integrity verification scheme is proposed.The analysis shows that the new scheme can meet the security requirements of privacy and soundness,and the computational cost is basically comparable to that of Li et al.’s scheme.

Key words: Cloud storage, Data integrity, Privacy preserving, Identity-based cryptography, Data security

CLC Number: 

  • TP309
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