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

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.

Using machine learning and topic modeling to examine manifestos of violent attackers.

“…Given these challenges, text mining approaches have been introduced, with topic modeling emerging as a prevalent method for uncovering underlying patterns in large text data sets (Vayansky & Kumar, 2020). Established techniques have found applications in forensics, particularly in cybersecurity, social media analysis, and author verification (Bérubé et al, 2020; Dutta et al, 2020; Shahbazi & Byun, 2022; T. Sun, Yang, et al, 2021).…”

Early Life Stress Detection Using Physiological Signals and Machine Learning Pipelines

“…Early in pregnancy, circulating blood monocytes penetrate the uterine lining and develop into "decidual macrophages". Excessive inflammation at the maternal-fetal interface predicts premature birth and fetal death, which is linked to a pro-inflammatory "M1-like" macrophage phenotype [17,18]. Macrophages that express more "M2-like" genes contribute to the generation of immunesuppressive T-regulatory cells that inhibit rejection of the semi-allogenic (non-self) fetus (immunoregulatory and anti-inflammatory) [19].…”

Machine-Learning Forensics: State of the Art in the Use of Machine-Learning Techniques for Digital Forensic Investigations within Smart Environments

“…Furthermore, ref. [27] proposed a DF analysis system based on natural language processing (NLP) techniques and the blockchain for social media data as a significant source of digital evidence that can support various DFIs; NLP is used for data collection, text analysis, and evaluation, and blockchain is used for securing the analysed data and avoiding any other attacks.…”