Digital image creditability measurement method based on D-S evidence theory

Abstract

The invention discloses a digital image creditability measurement method based on a D-S evidence theory, which is characterized by comprising the following steps of: constructing a falsifying feature set for feature comparison and establishing a digital image creditability measurement model; self-inspecting the digital image creditability measurement model; extracting corresponding falsifying features for an unknown image and predicting the unknown image by using the established digital image creditability measurement model; and finally processing a predicting result by using the D-S evidence theory and giving the measurement result and a credibility interval of the unknown image. The invention is used for comprehensively measuring stenography security, falsifying integrity and source reliability of the digital image.

Description

technical field [0001] The invention belongs to the field of digital image security, in particular to a digital image credibility measurement method based on D-S evidence theory. Background technique [0002] With the rapid development of network technology and digital multimedia technology and the popularization of digital image editing tools, people can easily modify or even tamper with digital images and spread them through the network. People have an innate trust in images, thinking that "seeing is believing". However, criminals are widely using this trusting nature of people to tamper with digital images, forge or hide secret information to achieve their criminal goals. Security incidents related to digital images continue to occur in various countries, and some of them have very bad effects, which gradually affect people's trust in digital images. [0003] At present, the credibility analysis of digital images is mainly divided into analysis in blind environment and n...

AI Technical Summary

Problems solved by technology

[0004] 1. The current digital image forensics technology can only do forensics for certain image tampering or steganography, but cannot achieve comprehensive forensics

However, in the actual network environment, digital images are often subjected to more than one kind of tampering, so the current forensic methods are often ineffective for digital images in the actual network environment.

[0005] 2. The current digital image forensics technology often can only make a binary judgment of yes or no, and second, it cannot make a more scientific estimate of the degree of measurement

[0006] 3. The current digital image forensics technology does not consider the conflict between various evidences, so it can only simply judge some kind of tampering in the judgment. Once there are multiple tamperings, it is often invalid due to the conflict of such evidence

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