2023
Determining Child Sexual Abuse Posts Based on Artificial Intelligence
Overview: Leveraging AI, this research focuses on accurately identifying CSAM posts. By applying intelligence algorithm based on natural language processing and machine learning techniques, it offers new insights into detecting and mitigating harmful content more efficiently.
Analyzing Child Sexual Abuse Activities on the Dark Web Based on an Efficient CSAM Detection Algorithm
Overview: Focused on developing a robust CSAM detection algorithm, this research examines patterns in dark web forums, contributing to enhanced content monitoring and prevention strategies.
Identifying Online Child Sexual Texts on the Dark Web Through Machine Learning and Deep Learning Algorithms
Overview: This paper explores ML and DL techniques for identifying CSAM-related texts on the dark web, presenting innovative methodologies for automated detection and response.
