Computational Forensics

Computational forensics (CF) is a quantitative approach to the methodology of the forensic sciences. It involves computer-based modelling, computer simulation, analysis, and recognition in studying and solving problems posed in various forensic disciplines. It includes various topics like Computational fluid dynamic modelling, Forensic facial approximation, superimposition and reconstruction in forensics, image processing techniques, eye colour predictive test, Computer forensic workflow management, Computer based analysis and validation studies, Counter forensics, Cyber forensics.
Nearly 30 universities in USA deals with the subject cyber forensics. Target audience will be investigative member, las assistants, the number of people working in this field are more. Approximately 10 labs are dealing with cyber crimes in USA, other than this private investigators also working under this field.

The U.S. market for forensic products and services was valued at more than $10.9 billion in 2012 and is expected to reach $11.2 billion in 2013. BCC Research projects the market to grow to $16.3 billion by 2018, and register a five-year compound annual growth rate (CAGR) of 7.8% from 2013 to 2018.

Computational crime scene investigation is a quantitative way to deal with the approach of the legal sciences. Scientific facial reproduction (or criminological facial estimation) is the procedure of reproducing the substance of a person (whose character is frequently not known) from their skeletal stays through an amalgamation of masterfulness, legal science, human studies, osteology, and life structures. Against PC crime scene investigation (once in a while counter legal sciences) is a general term for an arrangement of systems utilized as countermeasures to legal examination. PC crime scene investigation (here and there known as PC scientific science) is a branch of computerized measurable science relating to proof found in PCs and advanced stockpiling media. The objective of PC crime scene investigation is to look at advanced media in a forensically solid way with the point of recognizing, safeguarding, recuperating, breaking down and displaying realities and assessments about the computerized data.

  • Computational fluid dynamic modelling
  • Modern advancements in computer and network forensics
  • Computational objectivity and visual evidence
  • Counter forensics
  • Computer forensic workflow management
  • Eye color predictive test
  • Image processing techniques
  • Superimposition and reconstruction in forensics
  • Forensic facial approximation
  • Cyber forensics

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