Title: Strengthening crisis management and business resiliency through multi-resolution passive forgery detection for digital image authenticity

Authors: Bhavani Ranbida; Debabala Swain; Bijay Kumar Paikaray

Addresses: Department of Computer Science, Rama Devi Women's University, India ' Department of Computer Science, Rama Devi Women's University, India ' Department of Computer Science and Engineering, Centre for Data Science, Siksha 'O' Anusandhan (Deemed to be University), Odisha, India

Abstract: In recent years, due to various freely available software-altering tools, a massive forgery of digital images transpires over the web. The image forgery issues have become a big concern in ensuring the originality and authenticity of digital information. It is crucial as it includes areas like forensic images, newspaper photos, crime forensic images, digital copies of laws and orders, copies of insurance policies, healthcare reports, etc. which could be a disaster if any tampering is there in the mentioned field. Multiple approaches have been proposed to identify this counterfeit detection in digital images. This paper has comprehensively analysed the recently used methods for multi-resolution passive attacks on digital image tampering detection. According to the analysis and result, we discuss key points of different proposed methods and compare their performance such as accuracy, time duration, etc. Based on the analysis, we can conclude the possible future research directions in a multi-resolution passive image forgery detection approach. It also evaluates the procedures for more accuracy while detecting the forged region. The main aim is to identify forged regions in digital images without modifying the original information.

Keywords: multi-resolution; passive attack; image forensics; copy-move attack; splicing attack; crisis management; business resilience.

DOI: 10.1504/IJBCRM.2025.148356

International Journal of Business Continuity and Risk Management, 2025 Vol.15 No.3, pp.220 - 233

Received: 30 Sep 2024
Accepted: 17 Feb 2025
Published online: 02 Sep 2025 *

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