The document outlines various types and methods of digital forensics, including anti-forensics, mobile and IoT forensics, and network forensics. It highlights fundamental tools such as data mining, machine learning, and secure hashing algorithms, along with concepts used in digital forensics like evidence graphs and data recovery. Additionally, it identifies developing areas within digital forensics, including cyber warfare protection and fraud investigations.

1. DIGITAL FORENSICS
PROJECTS
www.matlabsimulation.com/digital-forensics-projects/

2. Methods of Sustained Digital/Analog Records
The following are the various types and methods which supported digital/analog records,
Malware or Virus
intrusions
Email
conversations
List of all phone
calls
RSS trace from
mobile phone
Telephone
contact list
Recorded video
& voice files

3. Outlets of Digital Forensics Projects
The main branches of Digital Forensics Projects are mentioned below,
Anti-Forensics
Embedded Device
Forensics
Mobile and IoT
Forensics
Database Forensics
Network
Forensics
Vehicle Forensics

4. Fundamental Tools
The following are the fundamental tools of digital forensic project,
Data Mining &
Machine Learning
Lightweight
Cryptography
Secure Hashing
Algorithms
Blockchain
Technology
Homomorphic
Encryption
Artificial
Intelligence

5. Ideas of Digital Forensic
These are the concepts that used digital forensic,
Correlation Frameworks
eDiscovery / Data
Recovery
Evidence Graphs
Construction
Evidence Log &
Empirical Analysis
Finite State
Construction
Digital Evidence
Extraction / Query

6. Areas of Developing Digital Forensics
The areas that developed under Digital Forensics are as follows,
Identity Access
Management
Cyber Walfare
Protection
Physical Memory
Acquisition
Fraud Investigations
Cyber Crime
Investigation
Incident Response and
also Management

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24
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