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High Performance Networks - Compilation and Optimization of Protocol Analyzers

Award Information

Agency:
Department of Energy
Branch:
N/A
Award ID:
89878
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Reservoir Labs., Inc.
632 Broadway, Suite 803 New York, NY 10012-2614
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: High Performance Networks - Compilation and Optimization of Protocol Analyzers
Agency: DOE
Contract: DE-FG02-08ER85046
Award Amount: $99,996.00
 

Abstract:

Network-based intrusion detection and prevention (IDP) systems provide effective site-wide security at institutions such as DOE national laboratories by detecting and eliminating malicious network traffic before it reaches vulnerable host systems. To identify malware reliably without triggering false positives, IDP systems must be ¿protocol aware,¿ properly identifying and interpreting the many network protocols in use. However, the protocol analysis modules needed for this task typically are not amenable to high-speed network processing, making protocol-aware IDP systems unable to keep pace with available high-bandwidth network technologies such as 10 Gbps Ethernet. This project aims to enable dramatically higher performance for protocol-aware IDP systems while simplifying the development of needed protocol analysis code. The approach involves the development of a domain-specific language for expressing protocols and a compiler to map this language to high-speed network processing platforms. The initial focus will be on multicore network processors with hardware-accelerated pattern matching. Commercial Applications and other Benefits as described by the awardee: Network-based IDP systems are widely deployed across commercial, governmental, and educational sites, as well as at DOE facilities. Thus, this technology should be applicable for any organization that seeks to maintain a secure internal network using IDP systems. Increasing network security will benefit the public in many ways, including reduced business and government costs for recovering from network intrusions and higher security for private data held by these institutions.

Principal Investigator:

Steven Reinhardt
Dr.
2127800527
stever@reservoir.com

Business Contact:

Steven Reinhardt
Dr.
2127800527
stever@reservoir.com
Small Business Information at Submission:

Reservoir Labs, Inc.
632 Broadway Suite 803 New York, NY 10012

EIN/Tax ID: 061303098
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No