Virginia Tech Ground Station - Satellite Mission Data Warehouse

Provide centralized mission data management and data warehousing for the Virginia Cubesat Constellation (VCC). Consists of 3 cubesats primarily developed by undergraduates at Virginia Tech (VT), University of Virginia (UVA), and Old Dominion University (ODU) Mission to study effects of drag in the upper atmospher

Multipersona Hypovisors: Securing Mobile Devices through High-Performance Light-Weight Subsystem Isolation

Funded by Naval Postgraduate SchoolWe propose and detail a system called multipersona Hypovisors for providing light-weight isolation for enhancing security on Multipersona mobile devices, particularly with respect to the current memory constraints of these devices. Multipersona Hypovisors leverage Linux kernel cGroups and namespaces to establish independent process container, al-lowing isolation of the Multipersona process tree from other simultaneous instances of Multipersona and the hypovisor which is an underlying Angstrom-based embedded Linux distributions designed to add additional security to the system. The system incorporates a wide range of data integrity tools in the embedded hypovisor, and an SE Linux-enabled kernel for mandatory access control and integrity tools for transparent auditing of running Multipersona instances. A prototype is presented which uses integrity tools external to the Multipersona container to audit it for malicious activity, and also has the ability to support a multipersona environment with multiple encrypted personas existing individually or simultaneously on the device. Two versions are demonstrated, one which allows cold-swapping of personas for high-assurance scenarios and also one that supports hot-swapping. Analysis shows that the hypovisor has a 40-50 MB impact on the overall memory footprint for the system.Naval Postgraduate School under contract N00244-11-P-2026L-3 Communications National Security Solutions CenterN00244-11-P-202

Hardware-Accelerated Real-Time Stream Data Processing on Android with GNU Radio

With the ever-increasing performance of smartphones and tablets, they become viable platforms for applications that were, in the past, only possible on desktops or laptops. In this paper, we study their applicability for real-time stream-data processing, which is particularly interesting for Software Defined Radio (SDR) applications, enabling wireless measurement and experimentation campaigns on mobile platforms. To this end, we port GNU Radio, a state-of-theart, open source, real-time stream-data processing framework, to Android and evaluate its performance. We show that it is possible to fully benefit from available accelerators, i.e., Single Instruction Multiple Data (SIMD) and the Graphics Processing Unit (GPU), which provide considerable speedups and allow for efficient implementations. As a general-purpose real-time data processing framework, GNU Radio can provide the base for a wide range of applications. To demonstrate its flexibility, we provide example applications that implement FM and Wireless LAN (WLAN). Our toolchain is published as open source software, thus serving as an enabler for highly mobile SDR applications

GNU Radio

GNU Radio is a free & open-source software development toolkit that provides signal processing blocks to implement software radios. It can be used with readily-available, low-cost external RF hardware to create software-defined radios, or without hardware in a simulation-like environment. It is widely used in hobbyist, academic, and commercial environments to support both wireless communications research and real-world radio systems