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

Zeinab Shahbazi; Yung-Cheol Byun

doi:10.3390/ijerph19127027

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

Int J Environ Res Public Health. 2022 Jun 8;19(12):7027. doi: 10.3390/ijerph19127027.

Authors

Zeinab Shahbazi¹, Yung-Cheol Byun¹

Affiliation

¹ 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.

Keywords: blockchain; digital forensics; machine learning; natural language processing.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Blockchain*
Data Collection
Humans
Natural Language Processing
Social Media*
Social Networking

Grants and funding

This research was financially supported by the Ministry of SMEs and Startups (MSS), Korea, under the “Startup growth technology development program (R&D, S3125114)”, and by the Ministry of Small and Medium-sized Enterprises (SMEs) and Startups (MSS), Korea, under the “Regional Specialized Industry Development Plus Program (R&D, S3246057)”, supervised by the Korea Institute for Advancement of Technology (KIAT).