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基于系统安全的在线社交网络的基于 NLP 的数字取证分析。

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

机构信息

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

出版信息

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

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.

摘要

社交媒体证据是数字取证领域的新话题。如果正确探索社交媒体信息,将为调查各种犯罪提供重要支持。探索社交媒体信息为政府提供犯罪的潜在证据并非易事。数字取证调查基于自然语言处理 (NLP) 技术和该过程中提出的区块链框架。在这个过程中使用 NLP 的主要原因是进行数据收集分析、每个阶段的表示、向量化阶段、特征选择和分类器评估。在这个系统中应用区块链技术可以确保数据信息的安全,以避免黑客攻击和任何网络攻击。通过使用真实数据集展示了该系统的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba0e/9222863/5b898f982a2a/ijerph-19-07027-g001.jpg

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