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Hash Based Equality Analysis of Video Files with Steganography of Identifier Information

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2022, 27(7), pp.17-25
  • DOI : 10.9708/jksci.2022.27.07.017
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : May 11, 2022
  • Accepted : June 13, 2022
  • Published : July 29, 2022

Wan Yeon Lee 1 Yun-seok Choi 1

1동덕여자대학교

Accredited

ABSTRACT

Hash functions are widely used for fast equality analysis of video files because of their fixed small output sizes regardless of their input sizes. However, the hash function has the possibility of a hash collision in which different inputs derive the same output value, so there is a problem that different video files may be mistaken for the same file. In this paper, we propose an equality analysis scheme in which different video files always derive different output values using identifier information and double hash. The scheme first extracts the identifier information of an original video file, and attaches it into the end of the original file with a steganography method. Next the scheme calculates two hash output values of the original file and the extended file with attached identifier information. Finally the scheme utilizes the identifier information, the hash output value of the original file, and the hash output value of the extended file for the equality analysis of video files. For evaluation, we implement the proposed scheme into a practical software tool and show that the proposed scheme performs well the equality analysis of video files without hash collision problem and increases the resistance against the malicious hash collision attack.

Citation status

* References for papers published after 2022 are currently being built.

This paper was written with support from the National Research Foundation of Korea.