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

【Author】 Shahbazi, Zeinab; Byun, Yung-Cheol

【Source】INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

【影响因子】4.614

【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】digital forensics; natural language processing; blockchain; machine learning

【发表时间】2022 JUN

【收录时间】2022-07-10

【文献类型】实证性文章

【主题类别】

区块链应用-实体经济-传媒领域