Topic Information Award/Contract Number Proposal Information Company Performance

Cross-Domain Attack Correlation Technologies

NBCHC050003 0421012
(FY04.2 Phase I)
Cross-Domain Intrusion Detection using Privacy-Preserving Distributed Data Mining Technologies

8840 Stanford Blvd. STE 1300
Columbia, MD 21045-5833


This document proposes development of PURSUIT, a cross-domain intrusion detection system that relies upon state-of-the-art privacy-preserving distributed data-mining (PPDM) technology. PURSUIT has a distributed multi-agent architecture that supports formation of ad-hoc peer-to-peer, hierarchical, and other collaborative coalitions with due attention to the security and privacy issues. It will be equipped with PPDM algorithms so that the patterns can be computed and shared across the sites without sharing the privacy-sensitive data. The algorithmic foundation of the approach is based on combination of secured multi-party computation and randomized transformation techniques that allow sharing of attack patterns not the raw data. This research will be performed by Agnik, Tresys, and University of Minnesota (UNM) Army High Performance Computing research Center. Agnik team has a strong track record in distributed and privacy preserving data mining. Tresys is a security company with strong record in working with several major governmental agencies dealing with national security. The UMN team has a strong record in building intrusion detection systems, including the MINDS IDS that is currently being deployed in more than sixty different army locations. Being a plug-in IDS PURSUIT has the commercial potential to be marketed to all organizations that currently use one or more IDS.

Innovative Techniques for Concealed Weapons or Explosive Detection at a Distance

NBCHC050001 0421192
(FY04.2 Phase I)
Electromagnetic Concealed Weapons Detection at a Distance

Pharad, LLC
797 Cromwell Park Drive
Suite V
Glen Burnie, MD 21061-2540


Pharad proposes to design a cost effective portable electromagnetic concealed weapons detection system that can be readily installed in a public areas, without interrupting the flow of human traffic. The system uses complex resonances for the identification of known targets, providing significant cost and size benefits over conventional imaging approaches. Our solution will be able to accurately detect and identify concealed weapons, metallic and non-metallic, at distances > 50 meters. Another unique advantage is that weapon detection is independent of the excitation manner. To minimize the size of the electromagnetic weapons identifier sensor we will use millimeter-wave frequencies as the interrogation signals, which also provides greater immunity to interference from other wireless services. In addition, a millimeter-wave based system provides a large available bandwidth that can be used to interrogate the target, increasing the resolution for target recognition. We will also incorporate efficient signal processing algorithms to ensure accurate determination of the presence of a known target.