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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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Related Experiment Video

Updated: Apr 5, 2026

Holistic Facial Composite Creation and Subsequent Video Line-up Eyewitness Identification Paradigm
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A Comprehensive and Harmonized Digital Forensic Investigation Process Model.

Aleksandar Valjarevic1, Hein S Venter1

  • 1Department of Computer Science, University of Pretoria, Lynnwood Drive, Pretoria, 0002, South Africa.

Journal of Forensic Sciences
|August 11, 2015
PubMed
Summary
This summary is machine-generated.

A new comprehensive model harmonizes digital forensic investigation processes (DFIP), addressing disparities in current methods. This standardized approach aims for more efficient and effective digital forensic investigations, ensuring evidence admissibility.

Keywords:
digital evidencedigital forensicsforensic scienceharmonizationinvestigationmodelprocessstandardization

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Digital Forensics

Background:

  • Digital forensic investigations (DFI) lack a unified international standard or harmonized process.
  • Existing digital forensic investigation process (DFIP) models exhibit significant disparities in scope, hierarchy, and applied concepts.

Purpose of the Study:

  • To propose a comprehensive DFIP model that harmonizes existing approaches.
  • To integrate all types of processes, including those for digital forensic readiness.
  • To introduce a novel class of concurrent processes for enhanced DFI.

Main Methods:

  • Analysis of existing state-of-the-art DFIP models.
  • Development of a comprehensive model incorporating diverse processes.
  • Introduction of a new category: concurrent processes.

Main Results:

  • A proposed comprehensive DFIP model that harmonizes disparate existing models.
  • Inclusion of processes for digital forensic readiness.
  • Introduction of novel concurrent processes.

Conclusions:

  • The proposed model facilitates more efficient and effective DFIs.
  • The model ensures the admissibility of digital evidence.
  • The model aims to standardize digital forensic investigations across various types.