Award Data

Solidcore¿s approach to malware-ID is to decouple packet payload analysis from the capture of packets in transit and the resulting necessity of (a) network-speed analysis, (b) analysis of large numbers of packets, only a minority of which contain malicious payloads. Phase I activities will consist of extending Solidcore¿s existing technology so that it can perform both of: ¿ malware ide ...

This project identifies embedded libraries in compiled executables by a combination of traditional matching and control flow-based machine learning techniques. The goal is to mitigate vulnerabilities hidden by embedded libraries in programs. The commercial application is a new enterprise risk detection tool, increasing software protection capability.

Mobile devices require security features that are utilized by application developers and users to ensure secure communication and commerce. Existing features on mobile hardware are often considered proprietary between the manufacturer and the telecommunications provider, rendering them unavailable for external use. Current works-around involve adding trusted hardware to the device, which increases ...

To address the Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) requirements and strategic intent, Karagozian and Case, Inc. (K&C) proposes to develop a SECURITY MITIGATION ASSESMENT OF RISKS AND THREATS (SMART) software application for SOFT TARGETS AND CROWDED PLACES (ST-CP) which leverages advanced Geographical Information Systems (GIS) mapping softwa ...

PCI’s is proposing an advanced energy storage and power generator design for meeting aggressive specific-power and specific-energy targets required for all-electric propulsion of narrow-body commercial aircraft. Key drivers are an exceptionally power-dense solid oxide fuel cell operating with energy-dense carbon neutral liquid fuels and a hybridized system architecture that maximizes component e ...

New approaches and techniques are required to effectively monitor and track radiological sources that are currently in use. We are proposing to develop a new class of monitoring and analysis methods that incorporate sensing information collected from zone-aware compact radiation detectors with built-in communications links. These intelligent tags are placed in designated areas where radiation sour ...

Acellent Technologies proposes to develop a smart joint structural health monitoring (SHM) sensor network that can autonomously assess in real time the structural stability of structures such as buildings. The sensor network will use a combination of large and small piezoelectric actuators and sensors to characterize damage in, and monitor the rigidity of components of the building primary structu ...

The ability to track small vessels is critical to national security, but not easily accomplished due to the sheer volume of craft and the range of environments which they operate within. The introduction of smart-phones with location, orientation, camera, and Internet capabilities is enabling collaborative applications that have strong locative potential. These devices are capable of acting as bas ...

Seacoast Science, Inc. (SCS) proposes the research and development of polymers and materials for the rapid and sensitive detection of low molecular weight toxic industrial compounds (TICs) and other compounds of interest. These sensitive materials will be selected from a broad class of linear, hyperbranched, and network materials. The relative response of the materials will be used in a Quantitati ...

The U.S. Border Patrol is in critical need of improved surveillance for detection of people and vehicles illegally crossing the Southern Border, particularly in rural areas. AETC will conduct a Phase 1 feasibility study of acoustics-based surveillance and signal processing techniques to address the Southern Border problem. The overall system concept encompasses a network of low-cost acoustic senso ...