Computer Network Operations (CNO)

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: W9113M-04-P-0077
Agency Tracking Number: B041-056-1303
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2004
Solicitation Year: 2004
Solicitation Topic Code: MDA04-056
Solicitation Number: 2004.1
Small Business Information
TORCH TECHNOLOGIES, INC.
2227 Drake Avenue, Suite 27, Huntsville, AL, 35805
DUNS: 122515708
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 James Rogers
 Principal Investigator
 (256) 319-6000
 jim.rogers@torchtechnologies.com
Business Contact
 William Roark
Title: CEO
Phone: (256) 319-6000
Email: bill.roark@torchtechnologies.com
Research Institution
N/A
Abstract
The evolution of the Ballistic Missile Defense System (BMDS) introduces new external components, such as Aegis as an external sensor/interceptor, into what was traditionally a closed loop system. While these additional elements will expand and improve the capabilities of the BMDS, they also introduce significant new Computer Network Operations (CNO) concerns. The integration of these elements introduces avenues for network-based attacks that may seek to disrupt, deny, degrade, or destroy information, computer systems, and communications networks. Improved methods are needed that can provide protection from these attacks. Torch Technologies will examine the feasibility of integrating Adaptive Concept Understanding from Modeled Enterprise Networks (ACUMEN) technology into agent-based intrusion detection (ID) systems. Through adaptive, multidimensional statistical modeling of network traffic within the system, ACUMEN-capable ID systems will both increase the detection rates of internal and external malicious activity and decrease false positives. ACUMEN, based on an adaptive neural system, is a technology that can refine the system model as data is received. Feasibility analysis will focus on distributed ACUMEN-capable ID agents that tap network communications at multiple points. Sensitivity to latency is effectively mitigated through the use of passive optical taps.

* information listed above is at the time of submission.

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