Adaptive Autonomous Secure Cyber Systems
2020 ed.
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- Game and control theory-based moving target defenses (MTDs) and adaptive cyber defenses (ACDs) for fully autonomous cyber operations;
- The extent to which autonomous cyber systems can be designed and operated in a framework that is significantly different from the human-based systems we now operate;
- On-line learning algorithms, including deep recurrent networks and reinforcement learning, for the kinds of situation awareness and decisions that autonomous cyber systems will require;
- Human understanding and control of highly distributed autonomous cyber defenses;
- Quantitative performance metrics for the above so that autonomous cyber defensive agents can reason about the situation and appropriate responses as well as allowing humans to assess and improve the autonomous system.
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