Automatic Generation of Robust Network Intrusion Detection Signatures

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$749,989.00
Award Year:
2008
Program:
STTR
Phase:
Phase II
Contract:
W911NF-08-C-0007
Award Id:
77973
Agency Tracking Number:
O064-NC2-2006
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
632 Broadway, Suite 803, New York, NY, 10012
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
022423854
Principal Investigator:
Steven Reinhardt
Managing Engineer
(212) 780-0527
stever@reservoir.com
Business Contact:
Melanie Peters
Business Manager
(212) 780-0527
peters@reservoir.com
Research Institute:
CARNEGIE MELLON UNIV.
A. J Abels
Collaborative Innovation Ctr
4720 Forbes Ave., Room 2111
Pittsburgh, PA, 15213
(412) 268-4912
Nonprofit college or university
Abstract
In this Phase II STTR project, we propose to develop a system that autonomously and rapidly (1) detects exploitation of application software vulnerabilities (including previously unknown vulnerabilities) via dynamic taint analysis; (2) generates vulnerability signatures identifying nearly all traffic that exploits those same vulnerabilitieseven traffic with no superficial similarities to the observed exploit, and with no false positivesvia semantic analysis of program paths leading to each vulnerability; and (3) deploys these signatures to a network-based intrusion prevention system to prevent further exploits of the same vulnerability on other systems within the protected network. Our unique advantages over competitors stem from several factors. Our semantics-based approach enables broad coverage, even against polymorphic attacks, while fundamentally eliminating the possibility of false positives. Our advanced network intrusion prevention platform enables traffic to be checked against complex signature patterns at line rate up to 10 Gbps. Our system's end-to-end automation will provide effective defense even against rapidly spreading worms spreading via previously unknown (zero-day) exploits.

* information listed above is at the time of submission.

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