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Digital forensics (sometimes known as digital forensic science) is a branch of forensic science encompassing the recovery, investigation, examination, and analysis of material found in digital devices, often in relation to mobile devices and computer crime.
Forensic science, also known as criminalistics, [1] is the application of science principles and methods to support legal decision-making in matters of criminal and civil law. During criminal investigation in particular, it is governed by the legal standards of admissible evidence and criminal procedure .
Forensic psychiatry – the two main areas of criminal evaluations in forensic psychiatry are evaluating a defendant's competency to stand trial (CST) and determining a defendant's mental state at the time of the offense (MSO). Forensic psychology – study of the mind of an individual, using forensic methods. Usually it determines the ...
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 ...
The Journal of the National Academy of Forensic Engineers is a peer-reviewed open access journal that provides a multi-disciplinary examination of the forensic engineering field. Submission is open to NAFE members and the journal's peer review process includes in-person presentation for live feedback prior to a single-blind technical peer review.
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Forensic biology is the application of biological principles and techniques in the investigation of criminal and civil cases. [1] [2]Forensic biology is primarily concerned with analyzing biological and serological evidence in order to obtain a DNA profile, which aids law enforcement in the identification of potential suspects or unidentified remains.
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.