An Autonomous Resiliency Toolkit for Cyber Defense Platforms

ICAART: PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 2(2020)

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摘要
Cyber defenders need automation tools that are intuitive, trustworthy, non-intrusive, and reusable. The Behavior-extracting Autonomous Resiliency Toolkit (BART) is such a tool. Its architecture combines existing results and AI techniques including workflow learning, mutli-agent frameworks, knowledge representation, and inference. A user study demonstrates that BART significantly shortens the required time to execute a cyber defense. The study also revealed three types of errors that an automated tool such as BART could prevent: typographical/syntax, procedural, and "hidden." We also describe an emerging application of BART.
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关键词
Grammar Inference,Workflow Learning,Automation,Autonomous Cyber Resiliency,Ontology,Cyber Protection,User Study
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