Topic Information Award/Contract Number Proposal Information Company Performance

Device to Detect Interference of Communications Systems

70RSAT18C00000021 FY18.1-H-SB018.1-003-0004-I
(FY18.1 Phase I)
Interference Detection and Analysis Device

ANDRO Computational Solutions, LLC
One Beeches Place
7980 Turin Rd., Bldg. 1
Rome, NY 13440-1934


Law enforcement and public safety agencies rely on the 700 MHz/800 MHz spectrum band which are affected by co-channel interference from the commercial radio networks along with unintentional as well as intentional radio frequency interferers (RFIs). The first responders need to be alerted or have prior knowledge of potential interferences at a mission site. This will enable them to adopt strategies to mitigate such potentially disruptive RFI sources and ensure reliable communication during the mission. In this effort, a cost-effective, lightweight and portable Interference Detection and Analysis Device (I-DAD) will be developed to enable robust RFI detection, characterization and localization. The situational awareness device, I-DAD, consist of two important utilities; (i) Short-time Fractional Fourier transform based intERference detectIon and characterizatioN (SNIFFER) technique capable of detecting and analyzing a wide range of RFI waveforms. SNIFFER will perform the 2D analysis of captured samples by representing the signal in time-fractional Fourier domain frequency plane measuring the angular distribution of the signal's energy. In contrast to traditional RSSI based approaches, SNIFFER is designed to detect even the lowest power RFI source. (ii) Information gathered by multiple I-DADs is used to perform geolocation. A novel SNIFF-LOC technique is proposed, that leverages the signal parameters estimated by SNIFFER to estimate the location of its source. SNIFF-LOC would present near optimal performance as it is built on the estimated signal intelligence in contrast to other traditional approaches based on TDOA, FDOA, AOA, RSSI where most of the other signal parameters are discarded.

Improved Human Systems for Computed Tomography

70RSAT18C00000027 FY18.1-H-SB018.1-006-0011-I
(FY18.1 Phase I)
Improved Human Systems for Computed Tomography Speed of Image Review

IDSS Holdings Inc
430 Bedford Road, Suite 204
Armonk, NY 10504-2002


IDSS in partnership with Tufts University Human Factors Engineering Program, a leader in Engineering Phycology, proposes to study CT screening system operator burden and reduce image review time by reviewing the GUI and the current man-machine interaction, perform a cognitive and behavioral analysis of the interaction, perform a time an motion study and recommend and perform limited prototyping of potential improvement to the operator interface and toolset.

Automated & Scalable Analysis of Mobile & IoT Device Firmware

70RSAT18C00000023 FY18.1-H-SB018.1-008-0010-I
(FY18.1 Phase I)
Firmware Automated Analysis at Scale with Testing

Red Balloon Security
336 West 37th Street
Suite 1024
New York, NY 10018-4592


The firmware running on mobile, embedded, and Internet of things devices is often treated as a blackbox by organizations. These firmware images can contain a myriad of n-day vulnerabilities, both malicious and unintentional backdoors, and other unwanted functionality. Unfortunately, analyzing these firmware images is a difficult and time-consuming task as each firmware can be packed with layers of compression and obfuscation along with specialized operating systems and filesystems. We propose Firmware Automated Analysis at Scale with Testing (FAAST), a technology built on top of Red Balloon Security's FRAK technology, a proprietary framework for unpacking, analyzing, modifying, and packing firmware images. FAAST will integrate additional specialized FRAK analyzers and utilize FRAK's client server architecture to automatically unpack and analyze firmware images returning human and machine readable reports back to the user.