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Abstracts of DHS SBIR-2017.OATS Phase II Awards

17 OATS-001

Company

Progeny Systems Corporation
9500 Innovation Drive
Manassas, VA 20110-2210

Proposal Information DHS SBIR-2017.OATS-17 OATS-001-0001-II - Android Security Toolkit
Topic Information 17 OATS-001 - Mobile Application Development Security Framework
Award/Contract Number HSHQDC-17-C-00057
Abstract

The objective of this effort is to enable US DHS and other government agencies to build mobile applications that are highly secure, establishing enterprise-wide mobile security practices for US DHS through mobile application development governance standards, best practices and tooling. It will establish mobile security standards as well as define and build-out a number of core elements required to establish for US Department of Homeland Security (US DHS) a mobile application development and deployment process that is secure, consistent, streamlined, repeatable and scalable across the entire US DHS enterprise. It will ensure a user experience that is fully native to the mobile device, maximize code share across platforms as well as reuse across mobile application projects, and ensure standardized approach to DHS mobile application development and testing.

17 OATS-002

Company

InferLink Corporation
2361 Rosecrans Ave., Suite 348
El Segundo, CA 90245-2901

Proposal Information DHS SBIR-2017.OATS-17 OATS-002-0001-II - Advanced Indexing and Search for Efficient Information Discovery
Topic Information 17 OATS-002 - Advanced Indexing and Search for Efficient Information Discovery
Award/Contract Number HSHQDC-17-C-00065
Abstract

Promoting the sharing of technical data between researchers is one of the most effective ways to advance technology development. As a result, there is a growing trend for research communities to develop websites with curated catalogs of data sets and tools. However, once a large number of resources have been collected, it can become challenging to maintain a centralized site so that potential users can easily find resources that are useful to them. We propose to address this problem by extending InferLink's ActiveSearch technology. ActiveSearch is a novel semantic search framework that combines natural language processing (NLP) techniques and a massive ontology so that users can search through document repositories in an intuitive fashion. In this project, we will extend this core technology to support search through collections of resources, such as data sets, software tools and analytics. This "catalog search" problem typically differs from document-centric search in some respects. For instance, there may be relatively little meta information associated with a resource. In addition, the search system must support expert researchers and contributors who are intimately familiar with the site's resources, as well as less sophisticated users who are unfamiliar with the resources. Our primary application focus will be the IMPACT portal (Impactcybertrust.org) but the work will be generally applicable to other resource information sites. Due to the growing number of such sites, there are numerous commercial opportunities for a semantic search solution that can be easily customized for an application domain.