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

Author

Listed:
  • Zeinab Shahbazi

    (Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science & Technology, Jeju National University, Jeju 63243, Korea)

  • Yung-Cheol Byun

    (Department of Computer Engineering, Major of Electronic Engineering, Institute of Information Science & Technology, Jeju National University, Jeju 63243, Korea)

Abstract

Social media evidence is the new topic in digital forensics. If social media information is correctly explored, there will be significant support for investigating various offenses. Exploring social media information to give the government potential proof of a crime is not an easy task. Digital forensic investigation is based on natural language processing (NLP) techniques and the blockchain framework proposed in this process. The main reason for using NLP in this process is for data collection analysis, representations of every phase, vectorization phase, feature selection, and classifier evaluation. Applying a blockchain technique in this system secures the data information to avoid hacking and any network attack. The system’s potential is demonstrated by using a real-world dataset.

Suggested Citation

  • Zeinab Shahbazi & Yung-Cheol Byun, 2022. "NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security," IJERPH, MDPI, vol. 19(12), pages 1-14, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:12:p:7027-:d:834135
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    References listed on IDEAS

    as
    1. Zeinab Shahbazi & Yung-Cheol Byun, 2022. "Agent-Based Recommendation in E-Learning Environment Using Knowledge Discovery and Machine Learning Approaches," Mathematics, MDPI, vol. 10(7), pages 1-19, April.
    2. Domenico, Giandomenico Di & Sit, Jason & Ishizaka, Alessio & Nunan, Daniel, 2021. "Fake news, social media and marketing: A systematic review," Journal of Business Research, Elsevier, vol. 124(C), pages 329-341.
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    Cited by:

    1. Liwei Yang & Guijun Zhou, 2024. "Dissecting The Analects: an NLP-based exploration of semantic similarities and differences across English translations," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    2. Sadiqa Jafari & Zeinab Shahbazi & Yung-Cheol Byun, 2022. "Improving the Road and Traffic Control Prediction Based on Fuzzy Logic Approach in Multiple Intersections," Mathematics, MDPI, vol. 10(16), pages 1-16, August.

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