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Automated Intrusion Detection for GCCS Les

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
36531
Program Year/Program:
1997 / SBIR
Agency Tracking Number:
36531
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Arca Systems, Inc.
8229 Boone Blvd, Suite 750 Vienna, VA 22182
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1997
Title: Automated Intrusion Detection for GCCS Les
Agency / Branch: DOD / DARPA
Contract: N/A
Award Amount: $97,626.00
 

Abstract:

Arca Systems proposes to initiate the design and development of an intrusion detection system for the GCCS LES (and similar environments). Many current intrusion detection tools are Unix-based, focused on a single host or on a generally homogeneous distributed environment. The notional GCCS LES environment makes extensive use of distributed architecture, using support from the COTS technologies DCE and CORBA. The concepts of users, permissions, identification and authentication, and audit, which are central to existing intrusion detection tools, may vary significantly in the GCCS LES. Arca Systems proposes to identify a class of detectable intrusion in GCCS LES and determine what data items need to be analyzed to detect such intrusions. This analysis will be performed both by porting existing intrusion detection tools to the GCCS LES environment and by extending and modifying those tools. These tools will be developed to the robust prototype stage.

Principal Investigator:

Gary Grossman
7037345611

Business Contact:

Small Business Information at Submission:

Arca Systems, Inc.
8229 Boone Blvd, Suite 750 Vienna, VA 22182

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No