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Digital image forensics (or forensic image analysis) is a branch of digital forensics that deals with examination and verification of an image's authenticity and content. [53] These can range from Stalin-era airbrushed photos to elaborate deepfake videos.
The digital forensic process is a recognized scientific and forensic process used in digital forensics investigations. [ 1 ] [ 2 ] Forensics researcher Eoghan Casey defines it as a number of steps from the original incident alert through to reporting of findings. [ 3 ]
Computer forensics (also known as computer forensic science) [1] is a branch of digital forensic science pertaining to evidence found in computers and digital storage media. The goal of computer forensics is to examine digital media in a forensically sound manner with the aim of identifying, preserving, recovering, analyzing, and presenting ...
Digital forensics is a branch of the forensic sciences related to the investigation of digital devices and media. Within the field a number of "normal" forensics words are re-purposed, and new specialist terms have evolved.
Network forensics is a sub-branch of digital forensics relating to the monitoring and analysis of computer network traffic for the purposes of information gathering, legal evidence, or intrusion detection. [1] Unlike other areas of digital forensics, network investigations deal with volatile and dynamic information.
Mobile device forensics is a branch of digital forensics relating to recovery of digital evidence or data from a mobile device under forensically sound conditions. The phrase mobile device usually refers to mobile phones; however, it can also relate to any digital device that has both internal memory and communication ability, including PDA devices, GPS devices and tablet computers.
The filing listed five witnesses who are described as experts in digital forensics or cellular analytics, with prosecutors indicating they’re expected to testify about the data and material ...
Forensic data analysis (FDA) is a branch of digital forensics. It examines structured data with regard to incidents of financial crime. The aim is to discover and analyse patterns of fraudulent activities. Data from application systems or from their underlying databases is referred to as structured data.