Autonomix: Empowering Network Security with DRLA for Anomaly Detection
Year: 2024
Type: article
Abstract: Autonomix, a groundbreaking framework, revolu- tionizes network security via Deep Reinforcement Learning (DRLA) for anomaly detection. It autonomously analyzes net- work traffic, pinpointing suspicious patterns indicative of security breaches or performance issues. DRLA empowers Autonomix to continuously learn and adapt in real-time, interpreting complex network data and identifying subtle anomalies that evade tradi- tional methods. This translates to reduced manual intervention and an improved security posture. Evaluations validate Au- tonomix’s superior performance against conventional techniques, signifying a significant advancement in network defense against ever-evolving cyber threats.
Author: Suma S.G
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6967758748
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