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NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security.

Zeinab Shahbazi1, Yung-Cheol Byun1

  • 1Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science & Technology, Jeju National University, Jeju 63243, Korea.

International Journal of Environmental Research and Public Health
|June 24, 2022
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Summary

This study introduces a novel digital forensics approach using natural language processing (NLP) and blockchain to analyze social media evidence for crime investigation, enhancing data security and accuracy.

Keywords:
blockchaindigital forensicsmachine learningnatural language processing

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Area of Science:

  • Digital Forensics
  • Computer Science
  • Cybersecurity

Background:

  • Social media platforms generate vast amounts of data crucial for criminal investigations.
  • Traditional digital forensic methods face challenges in effectively processing and securing social media evidence.
  • The need for robust, secure, and efficient techniques to analyze online evidence is paramount.

Purpose of the Study:

  • To propose a novel digital forensic framework integrating Natural Language Processing (NLP) and blockchain technology.
  • To enhance the analysis and secure handling of social media evidence for legal proceedings.
  • To demonstrate the efficacy of the proposed system using real-world datasets.

Main Methods:

  • Utilizing Natural Language Processing (NLP) for data collection, analysis, representation, vectorization, feature selection, and classifier evaluation.
  • Implementing a blockchain framework to ensure the integrity and security of digital evidence, preventing tampering and network attacks.
  • Testing the system's capabilities with a real-world social media dataset.

Main Results:

  • The integrated NLP and blockchain approach effectively processes and analyzes social media data for forensic purposes.
  • The blockchain component significantly enhances the security and immutability of the collected digital evidence.
  • The system demonstrates practical applicability and potential for supporting criminal investigations.

Conclusions:

  • The proposed digital forensic framework offers a secure and effective solution for analyzing social media evidence.
  • NLP techniques are vital for extracting meaningful insights from unstructured social media data.
  • Blockchain technology provides a trustworthy foundation for digital evidence management in forensic investigations.