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Title: Cyber Dynamic Impact Modeling Engine

As the rate, sophistication, and potential damage of cyber attacks continue to grow, the latency of human-speed analysis and response is becoming increasingly costly. Intelligent response to detected attacks and other malicious activity requires both knowledge of the characteristics of the attack as well as how resources involved in the attack related to the mission of the organization. Cydime fills this need by estimating a key component of intrusion detection and response automation: the relationship type and strength between the target organization and the potential attacker.
Publication Date:
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Report Number(s):
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Software Package Contents:
Open Source Software package available from AMES Laboratory at the following URL:
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Open Source:
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Other Software Info:
Previously approved for release as Organizational Relationship Classifier.
Research Org:
Sponsoring Org:
United States Department of Energy
Contributing Orgs:
Strasburg, Chris Kinkel Nikolas Lin, Harris
Country of Publication:
United States

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