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| Award Information | |
|---|---|
| Proposal Number: | HSHQDC-16-R-00012-H-SB016.1-003-0004-I |
| Proposal Title: | Malware Prediction for Situational Understanding and Preemptive Cyber Defense |
| Topic Number: | H-SB016.1-003 |
| Phase: | Phase I |
| Topic Title: | Malware Prediction for Situational Understanding and Preemptive Cyber Defense |
| Organization: | BlueRISC, Inc. |
| Address: | 28 Dana St Amherst, MA 01002-0000 |
| Abstract: | BlueRISC's proposed solution provides a fundamentally new approach to predicting the presence of malware in a network based on a novel graph-theoretical framework. Unlike traditional approaches that are reactive, it builds on a predictive capability that is flexible, adaptive, and is not relying on signatures or strict rule based malware definitions. The approach captures system motion as a predictive surrogate for malicious activity. This occurs based a concise graph-based forensics representation of a systems state and associated space-time correlations algorithms which use graph theory. |
| Award/Contract Number: | HSHQDC-16-C-00065 |
| Period of Performance: | 05/02/2016 - 11/01/2016 |
| Award/Contract Value: | $99,999.97 |
| Award/Obligated Amount: | $99,999.97 |