Communication Analysis System for Intrusion Detection Systems (IDSs)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$70,000.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
N00178-04-C-3100
Award Id:
70029
Agency Tracking Number:
N041-068-1336
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
7519 Standish Place, Suite 200, Rockville, MD, 20855
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
161911532
Principal Investigator:
Philip Goetz
Senior Scientist
(301) 294-5248
pgoetz@i-a-i.com
Business Contact:
Marc Toplin
Director of Contracts
(301) 294-5215
mtoplin@i-a-i.com
Research Institution:
n/a
Abstract
The innovation proposed herein is based on using Principal Component Analysis (PCA) to provide real-time characterization of communication between distributed processors, and to then use that characterization for real-time detection of attacks. PCA allows real-time processing of very high data rate communication, producing a characterization of that communication in a reduced dimensional space. Advantages are (1) Our processing can be done in real time even with hundreds of inputs at megabits per second each, (2) The state of the network communication can be viewed visually in the reduced dimensional space, giving a network administrator a visual queue as to anomalies that might be occurring, and (3) The approach is effective in detecting intrusions even if the attack has never been seen before. We have already tested our approach on a very limited set of data from the MIT Lincoln Labs 1999 data (Zissman 2001). Even though these tests represented only preliminary evaluation, we were able to detect 43% of the attacks in a group of ¿ % of the total data set. With refinement we should be able to substantially improve this rate. Sharing the resulting characterization and attack detection data between nodes of the network should further improve performance.

* information listed above is at the time of submission.

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