Award Data

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 predictiv ...

ABSTRACT: ADI and ASU propose to develop a novel methodology for blade peak stress prediction from limited strain gage/tip-timing measurements when multiple vibratory modes are present. The current protocol assumes that only one mode is present and only provides upper and lower bound estimates of the blade peak stress when multiple modes are important. It is proposed here to construct the blade m ...

ABSTRACT: The goal of this project is to develop theoretical models for electrode erosion in high-pressure arcs and incorporate them into computational tools for simulations of arc heaters. The complexity of the electrode material removal process is associated with the multi-phase nature of the arc-electrode interactions, melting and vaporization of the electrodes near the arc foot. Available mod ...

ABSTRACT: The overall goal of the proposed effort is to develop and demonstrate a general-purpose, fast, and reliable management and learning software tool for analyzing massive data sets generated by dynamic multi-disciplinary simulations. The salient elements of the software tool are: (1) an innovative combination of Proper Orthogonal Decomposition (POD) and advanced feature detection technique ...

ABSTRACT: In the future, numerous military database, documentation, and mission-critical information systems will be migrated to the clouds, due to cloud cost-efficiency and accessing flexibility. However, the cloud servers are generally untrusted either for data owners or users. In this proposal, A3IS (Attribute-based Algorithms for Assured Information Sharing) is proposed for dynamically and se ...

ABSTRACT: Our objective is to develop advanced mediator architectures for efficient electron transfer in enzymatic fuel cells (EFCs) for low power systems. The proposed EFC will leverage ongoing research at both CFDRC and Michigan State University to provide a fully-integrated lightweight, low-cost, manufacturable, and renewable power supply, for various military and civilian applications. EFC sy ...

The DoD is facing significant challenges in training Remotely Piloted Aircraft (RPA) crews. At the same time that the popularity of RPAs is increasing and the need for qualified crews is skyrocketing, airspace restrictions and limitations in simulators are making it increasingly difficult to offer effective training opportunities. To help the DoD meet these challenges, Sonalysts and our teammates ...

AEgis Technologies proposes in this Phase 1 project to develop a functional description document to define and document a framework capable of incorporating meta-data element enhanced SCORM conformant learning objects into a LMS to enable the delivery of challenging and motivating training tailored to an individual"s needs. The Phase 1 architectural framework will ensure individuals receive rele ...

TiER1 Performance Solutions proposes to develop CATS (Competency-based Adaptive Training System), a system to address common warfighter training needs in the Air and Space Operations Center. A major goal of this effort is to prepare warfighters for mission readiness by integrating a Learning Management System (LMS), which delivers personalized content and learning events as needed and provides con ...

An advanced strategy and architecture for software deception is proposed. The proposed research and development leverages a DoD SBIR Phase I contract awarded in 2009. The original project performed a feasibility assessment and early design of an architecture for providing software deception. Leveraging the prior work provides an opportunity to reach deeper into the concepts and challenges in usin ...