Harnessing AI for Proactive Cybercrime Detection

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Authors: Geetesh Gautam, Dolly Sharma
Cited by: 0

Abstract

Within the evolving landscape of the virtual age, the pervasive nature of technology has revolutionized the way we speak, join, and share statistics. At the same time that the internet has introduced remarkable possibilities for global interaction, it has also given rise to new challenges, with cyberbullying becoming a significant issue. The increasing incidence of online harassment, intimidation, and abuse necessitates innovative answers to shield people inside the virtual realm. AI can play a vital role in cyberbullying prevention by supporting the identification, monitoring, and response to instances of online harassment. The objective of this chapter is to automate the spotting of cyberbullying on social networks. The massive quantity of facts available makes individualistic monitoring for cyber harassment unfeasible. Automated flagging of signs of cyberharassment could significantly reduce response times, making social networks a safer place for sharing ideas, views, opinions, and interaction for people from all backgrounds. This report examines the transformative role of Artificial Intelligence (AI) in preventing and mitigating cyberbullying, exploring the potential of cutting-edge technologies to create safer online spaces through Natural Language Processing (NLP), Recurrent Neural Networks (RNN), and other methodologies.

Fields of Study & Subjects

Hate Speech and Cyberbullying Detection Spam and Phishing Detection Misinformation and Its Impacts

Publication details

Journal / source
BENTHAM SCIENCE PUBLISHERS eBooks
Pages
99–126
Publication date
19 January 2026
Document type
Book chapter