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Article

Reinforcement Learning for Zero-Day Vulnerability Detection in IoT Devices: A Proactive Approach

2024-03-15

Abstract excerpt

<title>Abstract</title> <p>Zero - Day vulnerabilities pose a significant threat to the security of IoT devices, as they remain undetected and unpatched by vendors. In this research paper, we propose a novel approach to Zero-Day Vulnerability Detection in IoT devices using reinforcement learning for conjecture generation. Our model leverages real-time telemetry data from IoT devices and metadata about the network...

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Literature Corpus work
cfbd9f14-c8e7-5c08-8f82-ee43f0544f95
DOI
10.21203/rs.3.rs-4086508/v1
Open publication

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Reinforcement Learning for Zero-Day Vulnerability Detection in IoT Devices: A Proactive ApproachDOI 10.21203/rs.3.rs-4086508/v1
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