Software Assurance Analysis and Visual Analytics

Award Information
Agency: Department of Homeland Security
Branch: N/A
Contract: D11PC20010
Agency Tracking Number: 0922004
Amount: $836,996.16
Phase: Phase II
Program: SBIR
Awards Year: 2011
Solitcitation Year: 2009
Solitcitation Topic Code: H-SB09.2-004
Solitcitation Number: FY09.2
Small Business Information
Applied Visions, Inc.
6 Bayview Avenue, Northport, NY, 11768-1502
Duns: 6022622
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ken Prole
 (631) 759-3907
 Ken.Prole@securedecisions.com
Business Contact
 Kelly Bennett
Title: Controller
Phone: (631) 759-3920
Email: Kelly.Bennett@avi.com
Research Institution
N/A
Abstract
To increase confidence that software is secure, researchers and vendors have developed different kinds of automated software security analysis tools. These tools analyze software for weaknesses and vulnerabilities, but produce massive data with many false positives. Further, the individual tools catch different vulnerabilities, often with little overlap. The NSA tested five static code analysis tools and found that 84pct of the vulnerabilities were identified by only one tool. These results point to the need to combine and correlate the results of multiple tools to ensure comprehensive vulnerability analysis. However, the disparate interfaces and non-normalized results of each tool make correlation of their results taxing to the software developer. The Secure Decisions Division of Applied Visions Inc. is developing a Software Assurance Analysis and Visual Analytics platform that integrates the results of disparate software analysis tools into a visual environment for triage and exploration of code vulnerabilities. Software developers can explore voluminous vulnerability results to uncover hidden trends, triage the most important code weaknesses, and show who is responsible for introducing software vulnerabilities. Visual analytics focus the user`s attention on the most pressing vulnerabilities. By correlating and normalizing data from multiple tools, the overall vulnerability detection coverage of software is increased.

* information listed above is at the time of submission.

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