Syed Mohammed Farhan
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126
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Crypto×1AI×1
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2026
Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
This paper introduces an attribution-driven analysis of encoder-based Large Language Models (LLMs) for network intrusion detection, demonstrating that the models make decisions based on meaningful traffic behavior patterns, thereby enhancing transparency and trust.
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