Computational Forensics

Computational forensics (CF) is a quantitative approach to the methodology of the forensic sciences. It involves computer-based modeling, computer simulation, analysis, and recognition in studying and solving problems posed in various forensic disciplines. It includes various topics like Computational fluid dynamic modeling, Forensic facial approximation, superimposition and reconstruction in forensics, image processing techniques, eye color 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 cybercrimes in USA, other than this private investigators also working under this field.

In 2012, the global forensic technologies market was valued at US$8.3 billion and is anticipated to reach a total market value of US$17.7 billion by the end of 2019, registering a growth rate of 12.4% CAGR. The number of crime laboratories in the U.S. performing forensic analyses grew from 300 in 1999 to an estimated 475 in 2013. Publicly funded forensic crime labs now spend in aggregate more than $1.6 billion per year.

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 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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