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Intelligent Insider Threat Detection Framework by chandana shashi menon is a document available to read on EtoBox.

The document presents the DTITD framework for detecting insider threats using Digital Twins and self-attention deep learning models, specifically BERT and GPT-2 for data augmentation. The proposed DistilledTrans model outperforms traditional methods in accuracy, precision, and recall, while also addressing data imbalance issues. Future work will focus on enhancing the framework with sentiment analysis and efficient transfer learning techniques.

Author
chandana shashi menon
Language
EN