IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Methodological Study of Fake Image Creation and Detection Techniques in Multimedia Forensics

A Methodological Study of Fake Image Creation and Detection Techniques in Multimedia Forensics
View Sample PDF
Author(s): Renu Popli (Chitkara Univeristy Institute of Engineering and Technology, Chitkrara University, Punjab, India), Isha Kansal (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India), Rajeev Kumar (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)and Ruby Chauhan (Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India)
Copyright: 2023
Pages: 24
Source title: Examining Multimedia Forensics and Content Integrity
Source Author(s)/Editor(s): Sumit Kumar Mahana (National Institute of Technology, Kurukshetra, India), Rajesh Kumar Aggarwal (National Institute of Technology, Kurukshetra, India)and Surjit Singh (Thapar Institute of Engineering and Technology, India)
DOI: 10.4018/978-1-6684-6864-7.ch007

Purchase

View A Methodological Study of Fake Image Creation and Detection Techniques in Multimedia Forensics on the publisher's website for pricing and purchasing information.

Abstract

Nowadays, there is a huge concern of fabrication of real-world images/ videos using various computer-aided tools and software. Although these types of software are commonly used for personal entertainment but may create havoc when used by malicious people for concealing some sensitive contents from images for criminal forgery. Spread of fake information and illegal activities or creating morphed images of some individuals for taking revenge are some of the potentially destructive areas of advanced face information and structure manipulation technology in the wrong hands. Researcher fraternity in multimedia forensics have been working in this area since many years and in this paper, a comprehensive study of various techniques of fake image/video creation and detection are described. It also presents a survey on various benchmark datasets used by the researchers for fake image/video detection. The presented survey can be a useful contribution for the research community to develop a new method/ model for fake detection thereby overcoming the restrictions of the traditional methods.

Related Content

Imen Fourati Kallel, Ahmed Grati, Amina Taktak. © 2023. 37 pages.
Gopal Singh Kushwah, Surjit Singh, Sumit Kumar Mahana. © 2023. 18 pages.
Hepi Suthar, Priyanka Sharma. © 2023. 23 pages.
Ashpreet. © 2023. 39 pages.
Sakshi Chhabra, Ashutosh Kumar Singh, Sumit Kumar Mahana. © 2023. 26 pages.
Deepak Singla, Sanjeev Rana. © 2023. 29 pages.
Renu Popli, Isha Kansal, Rajeev Kumar, Ruby Chauhan. © 2023. 24 pages.
Body Bottom