Research on Digital Media Image Data Tampering Forensics Technology Based on Improved CNN Algorithm

Abstract

At present, digital media has widely appeared in the modern Internet network, which has an extremely far-reaching impact on people's life. Due to the data characteristics of digital media images, it is easy to tamper with different purposes in the process of digital media communication. This research is based on CNN algorithm technology to study the methods of digital media image data tampering forensics, constructs the corresponding image tampering operation chain information theory model, and further uses the limited convolution CNN networks algorithm to identify the tampering behavior of pictures of different sizes. Through the comparative simulation analysis of CNN algorithm and SVM algorithm on digital media image data tampering forensics, it can be seen that CNN algorithm has higher recognition accuracy and recognition efficiency.