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

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 fore...

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Detalles Bibliográficos
Autores principales: Shahbazi, Zeinab, Byun, Yung-Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222863/
https://www.ncbi.nlm.nih.gov/pubmed/35742272
http://dx.doi.org/10.3390/ijerph19127027
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author Shahbazi, Zeinab
Byun, Yung-Cheol
author_facet Shahbazi, Zeinab
Byun, Yung-Cheol
author_sort Shahbazi, Zeinab
collection PubMed
description 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.
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spelling pubmed-92228632022-06-24 NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security Shahbazi, Zeinab Byun, Yung-Cheol Int J Environ Res Public Health Article 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. MDPI 2022-06-08 /pmc/articles/PMC9222863/ /pubmed/35742272 http://dx.doi.org/10.3390/ijerph19127027 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shahbazi, Zeinab
Byun, Yung-Cheol
NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security
title NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security
title_full NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security
title_fullStr NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security
title_full_unstemmed NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security
title_short NLP-Based Digital Forensic Analysis for Online Social Network Based on System Security
title_sort nlp-based digital forensic analysis for online social network based on system security
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9222863/
https://www.ncbi.nlm.nih.gov/pubmed/35742272
http://dx.doi.org/10.3390/ijerph19127027
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