Introduction of Forensics in Python

Jigisha Sata

3 days ago

Forensics In Python
Forensics In Python
Table of Content
  • What is Computational Forensic?
  • Computational forensics implementation algorithms and methods
          Python is a general-purpose and easy to understand and implement a programming language. It can be easily understood by both professional developers as well as new programmers. Python is equipped with many useful libraries that can be used with different stack framework. Python has wide applications. It also finds good use in digital forensics. Python helps us extract evidence, gather data, and also encrypt passwords. It also helps us preserve the integrity of evidence.
Many laboratories use python to build the basic models for predictions and to run experiments and have faith in python.
Here, we will try to go through the fundamental concepts of applying Python in digital or computation forensics.

What is Computational Forensic?

        Computational Forensics (CF) is an emerging research domain. It helps to solve the investigation of forensic problems using computational methods. The main aim of Computational Forensics is the discovery and the advancement of forensic knowledge. It involves modelling, computer simulation, computer-based analysis and recognition in studying and solving forensic problems.
It is also referred to as digital forensics or forensic information technology which is one specific discipline that could use computational science to study digital evidence. it examines diverse types of evidence.
CF deals with a broad range of subjects which has objects, substances, and processes investigated, mainly based on pattern evidence, such as tool marks, fingerprints, shoeprints, documents etc., and also include physiological and behavioral patterns, DNA, and digital evidence at crime scenes.
The below diagram shows the broad aspects of subjects covered under Computational Forensics.
Flowchart Forensics In Python
Flowchart Forensics In Python
Computational forensics is implemented with the help of different algorithms. Some of the
algorithms and methods came from several areas of pattern recognition and machine intelligence are as follows:
  • Signal processing / Image processing
  • Computer vision
  • Computer graphics
  • Pattern recognition
  • Data mining
  • Robotics
  • Machine learning
  • Statistical Methods
It involves diverse digital methods. To ease all the digital methods in forensics is to use
a general-purpose programming language like Python.
This article is basically a simple introduction to Computational forensics. Later we will see it in more details.
I hope you enjoyed reading this article and finally, you came to know about the Introduction of Forensics in Python.
For more such blogs/courses on data science, machine learning, artificial intelligence and emerging new technologies do visit us at InsideAIML.
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