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DIA: Distributed Information Assurance in Ballistic Missile Defense Systems…

Award Information

Agency:
Department of Defense
Branch:
Missile Defense Agency
Award ID:
86475
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
B073-039-0654
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Agnik, LLC
8840 Stanford Blvd. Suite 1300 Columbia, MD 21045
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2008
Title: DIA: Distributed Information Assurance in Ballistic Missile Defense Systems using Scalable, Distributed Data Mining Technology
Agency / Branch: DOD / MDA
Contract: HQ0006-08-C-7810
Award Amount: $99,957.00
 

Abstract:

This document proposes to develop a Distributed Information Assurance (DIA) system based on the distributed data mining technology for detecting distributed network attacks and identifying attackers' "signatures" for advanced situational awareness. It will offer the following key capabilities: 1. A multi-agent architecture for linking multiple, heterogeneous network-sensors (e.g., intrusion detection and malware detection systems, netflow data, tcpdump) for performing distributed and decentralized analysis of the data. The system will support local management of policy-based control for different sensors. 2. A collection of distributed data mining algorithms for decentralized outlier detection, clustering,and trend analysis for network data. These algorithms will lay the foundation of the DIA system. 3. A module for supporting the complete life-cycle of the information assurance management process in a BMDS. Following attack detection capabilities will be explored during Phase I: Detect distributed network "signatures" of attackers based on the distributed observations from different nodes in the network. Detect attack patterns on the coalition members in terms of clusters, outliers. Identify statistical properties of attack distribution in order to perform a trend analysis. Detect stealth network probes by attackers and worms. The proposed work will be performed at Agnik, a mobile and distributed data mining company.

Principal Investigator:

Kakali Sarkar
Chief Operating Officer
4102900146
kakali@agnik.com

Business Contact:

Hillol Kargupta
President
4435386624
hillol@agnik.com
Small Business Information at Submission:

AGNIK, LLC
8840 Stanford Blvd. STE. 1300 Columbia, MD 21045

EIN/Tax ID: 522320824
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No