Reinforcement Learning-Based Generative Security Framework for Host Intrusion Detection

Reinforcement Learning-Based Generative Security Framework for Host Intrusion Detection

Protecting users’ systems from evolving cybercrime is becoming increasingly challenging. Attackers create more complicated attack patterns and configure attack behavior to resemble normal behavior to evade detection by defenders. Thus, it is indispensable to configure a security system th...

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Bibliographic Details
Main Authors: Yongsik Kim, Su-Youn Hong, Sungjin Park, Huy Kang Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Reinforcement learning
natural language processing
host-based intrusion detection system
Online Access:https://ieeexplore.ieee.org/document/10848062/
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