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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Identifiers and source
- Literature Corpus work
- cfbd9f14-c8e7-5c08-8f82-ee43f0544f95
- DOI
- 10.21203/rs.3.rs-4086508/v1
