SBIR Phase I: Transforming Incident Response: A Platform for High-Fidelity Network Forensics at Scale
SBIR Phase I: Transforming Incident Response: A Platform for High-Fidelity Network Forensics at Scale
批准号:
1549386
负责人:
Matthias Vallentin
金额:
$14.99万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-01-01 至 2016-06-30
中文摘要
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英文摘要
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project concerns improving the security of the Internet, at a time when virtually all sectors of the U.S. economy depend on the safety and stability of that critical infrastructure. The commercialization of this innovation will benefit multiple sectors of the US economy, including government, defense, critical infrastructure, utilities, financial services, manufacturing, education, and research. By transforming the workflow of computer professionals who analyze and respond to cyber security incidents, this innovation will enable the nation's private and public organizations to respond to the rapidly-increasing levels of external threats much more quickly and effectively. The project will release the underlying core technology as open-source software to the public, making its capabilities freely available to the broader network security community, while exploiting the added value of tightly integrating the system into its existing product line to drive revenue. This Small Business Innovation Research (SBIR) Phase I project will develop an early prototype of a novel network forensics platform that provides highly interactive access to a long-term forensic archive of a customer's network activity. The platform will support real-time analysis of cyber events at a variety of scales and contexts by employing an efficient, compact representation of network events that enables a unified view of network activity at much finer granularity than with traditional products. The primary technical challenges for bringing the product to market include scaling current prototype technology into high-performance production-grade software, integrating it into an existing commercial appliance platform without impairing the performance of either, and designing an interactive user interface that supports forensic investigations effectively.
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