Image Source Identification Using Convolutional Neural Networks in IoT Environment. (11th September 2021)

• Record Type: Journal Article
• Authors: Wang, Yan; Sun, Qindong; Rong, Dongzhu; Li, Shancang; Xu, Li Da
• Other Names: Lv Zhihan Academic Editor.
• Is Part Of: Wireless communications and mobile computing. Volume 2021(2021)
• Publication Date: 2021-09-11
• Subjects: Wireless communication systems -- Periodicals; Mobile communication systems -- Periodicals; 621.38205
• DOI: 10.1155/2021/5804665
• Languages: English
• ISSNs: 1530-8669

Abstract

Abstract : Digital image forensics is a key branch of digital forensics that based on forensic analysis of image authenticity and image content. The advances in new techniques, such as smart devices, Internet of Things (IoT), artificial images, and social networks, make forensic image analysis play an increasing role in a wide range of criminal case investigation. This work focuses on image source identification by analysing both the fingerprints of digital devices and images in IoT environment. A new convolutional neural network (CNN) method is proposed to identify the source devices that token an image in social IoT environment. The experimental results show that the proposed method can effectively identify the source devices with high accuracy.