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Since 2000, in response to the need for standardization, various bodies and agencies have published guidelines for digital forensics. The Scientific Working Group on Digital Evidence (SWGDE) produced a 2002 paper, Best practices for Computer Forensics, this was followed, in 2005, by the publication of an ISO standard (ISO 17025, General requirements for the competence of testing and ...
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 stages of the digital forensics process require different specialist training and knowledge. There are two basic levels of personnel: [3] Digital forensic technician Technicians gather or process evidence at crime scenes. These technicians are trained on the correct handling of technology (for example how to preserve the evidence).
IoT Forensics or IoT Forensic Science, a branch of digital forensics, that deals with the use of any digital forensics processes and procedures relating to the recovery of digital evidence which originates from one or more IoT devices for the purpose of preservation, identification, extraction or documentation of digital evidence with the intention of reconstructing IoT-related events. [1]
E-mail tends to be personal, plentiful and candid. For most adults, e-mail is their primary means of written communication and is often sought after for evidence. [6] A new generation of tools is being developed in order to address the challenges being faced by digital forensic and ediscovery practitioners. [7]
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.