• Yash Nagare
• Devendra Mishra
• Darshan Ghevade
• Pranali Pawar
• Dr. Nilakshi Jain

Cyberspace has evolved significantly in the last few decades and has brought it rise in consumption of digital media. The widespread use of digital media has led to increased numbers of image tampering incidents. Image tampering refers to the process of manipulating images to mislead people. To combat this issue, few image tampering detection have been deployed, but none being able to detect sophisticated image tampering. In our research paper we propose an image tampering tool that uses ELA (Error Level Analysis) to determine image tampering. ELA is a technique that compares the original image to a compressed version of the same image to identify possible tampering. The proposed tool uses image trained library and machine learning to detect regions of tampering. This proposed tool can be used in various fields of forensics, journalism, and social media platforms to ensure the authenticity of digital images.

Error Level Analysis (ELA), Image tampering, Image manipulation, Forensics, Authenticity.

"PixelTrace: A Forensic Investigation Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.p66-p71, May 2023, Available :http://www.jetir.org/papers/JETIR2305G09.pdf

"PixelTrace: A Forensic Investigation Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppp66-p71, May 2023, Available at : http://www.jetir.org/papers/JETIR2305G09.pdf