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MalSee: Using vision, hearing, and other features to detect malware
Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-15-P-1161
Agency Tracking Number: N151-067-0409
Amount:
$79,997.00
Phase:
Phase I
Program:
SBIR
Solicitation Topic Code:
N151-067
Solicitation Number:
2015.1
Timeline
Solicitation Year:
2015
Award Year:
2015
Award Start Date (Proposal Award Date):
2015-07-06
Award End Date (Contract End Date):
2016-05-06
Small Business Information
5266 Hollister Avenue, Suite 229
Santa Barbara, CA
93111
United States
DUNS:
097607852
HUBZone Owned:
No
Woman Owned:
No
Socially and Economically Disadvantaged:
No
Principal Investigator
Name: Kenneth Sullivan
Phone: (805) 967-9828
Email: sullivan@mayachitra.com
Phone: (805) 967-9828
Email: sullivan@mayachitra.com
Business Contact
Name: Ryan Craven
Title: Technical Point of Contact
Phone: (703) 696-7824
Email: ryan.craven@navy.mil
Title: Technical Point of Contact
Phone: (703) 696-7824
Email: ryan.craven@navy.mil
Research Institution
N/A
Abstract
We propose MalSee to leverage recent research performed by principals at Mayachitra to recast the suspect software binaries as images and exploit computer vision techniques to automatically classify malware. This approach offers the following advantages: Robustness to variations, speed and scalability, route for further exploration.
* Information listed above is at the time of submission. *
