SBIR/STTR Research Award

Automate Ontological Representation of security classification guides

Award identifier fa3bc50775e9efa23921861e1b37d9e1753aaae69d9c8fc2da846f82675ca556Awarding agency Department of Defense · Air Force

Award amount

$749,988

Program and phase

SBIR · Phase II

Award year

2010

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
3 Sigma Research, Inc.
Proposal award date
2010-04-27
Contract end date
2012-04-26
UEI
Not reported
Solicitation number
2008.3
Topic code
AF083-037

Research abstract

3 Sigma Research proposes to develop and implement an innovative prototype and demonstrate a suite of tools to assist with the automated creation of security classification guides and application of the guide in classifying information. Building on the research from the Phase I Ontology-based Security Classification Guide Investigation (OSCG-I), the prototype will show that a robust and accurate ontological approach can indeed overcome the complex issues related to this problem, and instead become an opportunity. Phase I focused on two areas of feasibility, 1) development of approaches for specifying a formal ontological open standard for the information contained in a security classification guide (SCG), including security classification rules, and validating the consistency whether a single, or multiple, ontology-based SCGs apply to a given situation, and 2) tools to facilitate and automate creation of SCG and the inherent security classification rules. Phase II will focus on building an enhanced prototype suite of tools to demonstrate the benefits of automated SCG creation and maintenance to provide more rapid and agile responses to dynamic environments. BENEFIT: Our advantage over existing methods is that OSCG assists users in the creation, maintenance, and application of security classification management through the entire SCG lifecycle. This will result in increased efficiency, lower cost, and most importantly increased security. Since the ontology captures the relationships among the SCG component items, the OSCG system automatically checks for consistency within the SCG by capturing SCG components using a formally defined and verifiable ontology. Another advantage to our approach is reusability. Many SCGs have relationships and references that are similar within a hierarchy of security regulations. Our approach, further developed in Phase II, allows existing security classification regulations and documents to be easily incorporated into new SCGs. This reuse capability, along with consistency validation, will help ensure that existing and validated regulations are incorporated and propagated correctly during the SCG lifecycle. We can envision this approach as a strong complement to cross-domain solutions. Above any other benefit is that, wherever warfighters are, secure information at the right level of detail and appropriately accessed or disseminated can greatly increase the efficiency of their activities.

Technology keywords

Not reported

Awards with the same topic code

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

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.