Manotar Tampubolon

Advancements in digital technology have made it easy to alter faces using editing software, posing challenges for industries in verifying photograph authenticity. Digital image forensics, a scientific method, is employed to gather data and determine the veracity of faces. This study assesses the effectiveness of digital image forensics in detecting fake digital faces using tools such as Foto Forensics, Forensically Beta, and Opanda IExif. Foto Forensics analyzes JPEG picture compression levels to detect image edits, revealing metadata differences compared to the original photo. Forensically Beta examines digital characteristics like color and noise levels to identify alterations. Opanda IExif scrutinizes image metadata, disclosing information about the camera used and subsequent changes. All three forensic methods effectively identify fake digital faces. Analyzing metadata differences and contrast variations between the original and altered faces proves to be an effective method for spotting alterations. Digital image forensics enhances legal and investigative processes, serving as a valuable tool for identifying digital face manipulation. Stronger digital security measures, including improved encryption, authentication, and legal regulations, are needed to protect against facial photograph manipulation. Updating legal and regulatory frameworks for digital security is vital to address increasingly sophisticated techniques used in facial photograph editing. As digital technology advances, continuous development and improvement of forensic techniques are crucial to detect digital face fabrication. Given the growing complexity of digital editing tools and the ease with which facial images can be altered, reliable methods are essential. Digital image forensics provides a systematic approach to gather data and verify the authenticity of digital photographs.