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Malware Prediction for Situational Understanding and Preemptive Cyber Defense
Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: HSHQDC-16-C-00065
Agency Tracking Number: HSHQDC-16-R-00012-H-SB016.1-003-0004-I
Amount:
$99,999.97
Phase:
Phase I
Program:
SBIR
Solicitation Topic Code:
H-SB016.1-003
Solicitation Number:
HSHQDC-16-R-00012
Timeline
Solicitation Year:
2016
Award Year:
2016
Award Start Date (Proposal Award Date):
2016-05-02
Award End Date (Contract End Date):
2016-11-01
Small Business Information
28 Dana St
Amherst, MA
01002-0000
United States
DUNS:
102221665
HUBZone Owned:
No
Woman Owned:
No
Socially and Economically Disadvantaged:
No
Principal Investigator
Name: Kristopher Carver
Title: Technical Director
Phone: (413) 359-0599
Email: kris@bluerisc.com
Title: Technical Director
Phone: (413) 359-0599
Email: kris@bluerisc.com
Business Contact
Name: Sylvia Moritz
Title: Vice President of Finance and Operations
Phone: (617) 517-6324
Email: sylvia@bluerisc.com
Title: Vice President of Finance and Operations
Phone: (617) 517-6324
Email: sylvia@bluerisc.com
Research Institution
N/A
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.
* Information listed above is at the time of submission. *