Zero-shot learning integration for recognizing and responding to novel attack patterns.

<p>Zero-shot learning integration for recognizing and responding to novel attack patterns.</p>

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Bibliographic Details
Main Author:	Adel Alshamrani (22022154) (author)
Published:	2025
Subjects:	Cell Biology Ecology Science Policy Infectious Diseases Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified robust performance extends results collectively demonstrate federated knowledge sharing enables rapid adaptation detailed evaluation demonstrates agent reinforcement learning shot learning capabilities shot hierarchical multi adaptive cyber defense novel attack patterns advanced persistent threats semantic mapping accuracy reducing communication overhead preserving data privacy mean response time high detection rate framework &# 8217 federated hierarchical marl day exploits compared semantic mapping preserving privacy day exploits novel threats shot capability containment rate based detection sophisticated threats novel approach traditional approaches tasks managed static rule specialized sub rapidly evolve performing baseline paper presents often rely known attacks exploit vulnerabilities efficient coordination centralized monitoring apts ). adaptive zero 8 %.
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