SBIR/STTR Research Award

Dynamically Evolving Malware Detection in Streams

Award identifier 469ef24e34385ef97629191a84f19384304fb6aa09cd072b5d0eb08736cfe62bAwarding agency Department of Defense · Air Force

Award amount

$99,926

Program and phase

STTR · Phase I

Award year

2012

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
SENTAR, INC.
Proposal award date
2012-03-07
Contract end date
Not reported
UEI
J7NJG4KDP7U3
Solicitation number
2011.B
Topic code
AF11-BT21

Research abstract

ABSTRACT: The emergence of polymorphic malware poses an increasingly difficult threat to network security. Sentar proposes the development of a Polymorphic Malware Detection Unit that will perform automated detection of dynamically evolving malware as well as zero-day attacks. The Unit will be designed to integrate with existing systems as well as into future systems. Sentar will use predictive Data Modeling techniques for automated detection of polymorphic malware. These techniques, developed by Sentar team members, are based on regression methods used to enable models of nominal conditions to be obtained quickly and simply. Each executable in the runtime stream is treated as a single point defined in seven-dimensional space. This information can be rapidly used to create classifiers useful in polymorphic malware detection, and successive exemplars are fed back into the model, creating increasingly fine granularity classifiers, for continuous detection capability. Mature classifiers consist of tree-shaped organizations of data models that have been converted to look-up tables, with each table comprising a node within the tree. New nodes are added dynamically, with no requirement for retraining. The result is an adaptive machine learning solution for detection of polymorphic malware. BENEFIT: Sentar"s Cyber Polymorphic Malware Detection Unit is a game changer for cyber security. Because the technology is designed for application to both existing systems and new development programs, there will be numerous opportunities for deployment. Weapon systems, SCADA systems, energy systems, manufacturing systems are all candidates for the technology. As a tool for polymorphic malware detection, it can be used to monitor data streams of executables, it can be configured as a new crawler to verify the health of local area networks, it can be used as a boundary protection tool to enhance or replace current intrusion detection technology, and it can be used to screen incoming email for indications of cyber attack. Sentar views the Polymorphic Malware Detection Unit technology as a marketing wedge, and as creator of the technology, Sentar plans to gain first-mover competitive advantage. The technology will be applicable to a wide range of weapon systems and other mission critical systems.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

60 SBIR/STTR records share this UEI (1994–2025). Reported award amounts total $21,521,365. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation, Department of Energy

Contractor profile

SENTAR, INC.

Historical federal award activity, when published, is on that contractor profile. Matched by UEI only.

Agency intelligence

Department of Defense

NAICS intelligence

This classification comes from the contractor profile, not from the SBIR award record.

Contractor industry classification NAICS 518210

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