SBIR/STTR Research Award
MalSee: Using vision, hearing, and other features to detect malware
Award amount
$79,997Program and phase
SBIR · Phase IAward year
2015Award details
- Awarding agency
- Department of Defense
- Branch
- Navy
- Recipient company
- MAYACHITRA, INC.
- Proposal award date
- 2015-07-06
- Contract end date
- 2016-05-06
- UEI
- M1LHUN6EB5H6
- Solicitation number
- 2015.1
- Topic code
- N151-067
Research 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.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- GUARDIAN: Generating Understanding and Accountability in Robust Detection with Directed Energy Insights and Analysis of Neural Collapse
- Graphical Methods for Discovering Structure and Context in Large Datasets
- CARPOOL: Continual leArning foR PeriscOpe videO anaLysis
- Graphical Methods for Discovering Structure and Context in Large Datasets
- PARTEL: Periscope video Analysis using Reinforcement and TransfEr Learning
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Orthogonal Approach to Malware Detection and Classification
- Orthogonal Approach to Malware Detection and Classification
- Orthogonal Approach to Malware Detection and Classification
Research funding history
27 SBIR/STTR records share this UEI (2004–2025). Reported award amounts total $15,039,824. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, Department of Health and Human Services