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About Ig 19 022
This document discusses using deep reinforcement learning (DRL) for cyber security applications. It notes that machine learning, including DRL, has been used for tasks like intrusion detection, malware detection, and data privacy protection. However, these methods cannot provide dynamic responses against new cyber attacks. Reinforcement learning is well-suited for cyber security as it allows an agent to learn through experience. The combination of deep learning and reinforcement learning in DRL has achieved success in complex domains and shows promise for addressing challenging cyber security problems.
Detailed Information
Author: | ['Karthik'] |
---|---|
Publication Year: | 2019 |
Pages: | 16 |
Language: | English |
Format: | |
Price: | FREE |
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