AN ENSEMBLE OF NLP MODELS FOR REAL-TIME CYBER THREAT DETECTION ON SOCIAL MEDIA PLATFORMS
Shilpa
Computer Science
Janurary 2024
Modern, real-time detection systems have become necessary due to the increasing frequency and sophistication of cyber-attacks on social media platforms in recent years. This study uses a group of Natural Language Processing (NLP) models in an inventive way to improve cyber threat identification. In order to take use of each individual technique's advantages, the ensemble combines many NLP approaches, which increases the overall efficacy and accuracy of cyber threat assessment. Our ensemble approach creates a robust system that can capture the finer points and contextual subtleties found in social media material by combining state-of-the-art language models, deep learning architectures, and classic machine learning techniques.
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