USA flag logo/image

An Official Website of the United States Government

MLIDS, a Machine Learning Intrusion Detection System

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
78901
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
F061-018-0146
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ATC - NY
33 Thornwood Drive, Suite 500 Ithaca, NY 14850-1250
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: MLIDS, a Machine Learning Intrusion Detection System
Agency / Branch: DOD / USAF
Contract: FA8650-06-M-6661
Award Amount: $99,961.00
 

Abstract:

High-fidelity simulation environments using Distributed Mission Operations (DMO) may be attacked by enemies wishing to subvert the simulation performance and results. To detect, mitigate, and inoculate against such attacks, ATC-NY, in collaboration with Architecture Technology Corporation and Cornell University Professor Thorsten Joachims, will develop the Machine Learning Intrusion Detection System (MLIDS). We will locate specific features in High Level Architecture (HLA) and Distributed Interactive Simulation (DIS) that prove to be significant when attacks occur, and build HLA and DIS profiles that separate these features' values into two categories: when attacks take place and when they do not take place. MLIDS will use Support Vector Machines (SVMs), a new learning system based on recent advances in statistical learning theory, to build profiles for HLA and DIS and detect malicious DMO network traffic in real-time. MLIDS will alert the network administrator to abnormal-and hence possibly malicious-traffic in real-time and provide guidance in dealing with attacks. To create MLIDS, the ATC-NY team will develop novel technologies for classifying network intrusions in HLA and DIS simulation environments.

Principal Investigator:

Daniel Tingstrom
Computer Scientist
6072571975
dtingstrom@atc-nycorp.com

Business Contact:

Richard Smith
Controller
6072571975
rick@atc-nycorp.com
Small Business Information at Submission:

ATC - NY
33 Thornwood Drive, Suite 500 Ithaca, NY 14850

EIN/Tax ID: 161549760
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No