A bit toggling approach for AMBTC tamper detection scheme with high image fidelity

PLoS One. 2020 Apr 16;15(4):e0230997. doi: 10.1371/journal.pone.0230997. eCollection 2020.

Abstract

The existing tamper detection schemes for absolute moment block truncation coding (AMBTC) compressed images are able to detect the tampering. However, the marked image qualities of these schemes can be enhanced, and their authentication methods may fail to detect some special tampering. We propose a secure AMBTC tamper detection scheme that preserves high image fidelity with excellent detectability. In the proposed approach, a bit in bitmaps of AMBTC codes is sequentially toggled to generate a set of authentication codes. The one that causes the least distortion is embedded into the quantization levels with the guidance of a key-generated reference table (RT). Without the correct key, the same reference table cannot be constructed. Therefore, the proposed method is able to detect various kinds of malicious tampering, including those special tampering techniques designed for RT-based authentication schemes. The proposed method not only offers better image quality, but also provides an excellent and satisfactory detectability as compared with previous works.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computer Security / standards
  • Computer Security / statistics & numerical data
  • Data Compression / standards
  • Data Compression / statistics & numerical data
  • Humans
  • Image Processing, Computer-Assisted* / standards
  • Image Processing, Computer-Assisted* / statistics & numerical data
  • Internet / standards
  • Internet / statistics & numerical data
  • Security Measures* / standards
  • Security Measures* / statistics & numerical data

Grants and funding

D.C. Lou received following two awards: 1. Ministry of Science and Technology of Taiwan (under the grants MOST 107-2221-E-182-014- and MOST 108-2221-E-182-051-) URL: https://www.most.gov.tw/?l=en 2. Chang Gung Memorial Hospital (under the grant BMRPB30) URL: https://www1.cgmh.org.tw/branch/lnk/e/index.aspx W. Hong received following award: 1. Guangzhou Science and Technology Plan Project of China (under grant 201904010276 and 201804010292) URL: http://sop.gzsi.gov.cn/.