Intrusion detection for 802.11 networks

Award Information
Agency:
Department of Defense
Amount:
$590,635.00
Program:
SBIR
Contract:
N00164-04-C-6058
Solitcitation Year:
2002
Solicitation Number:
2002.2
Branch:
Navy
Award Year:
2004
Phase:
Phase II
Agency Tracking Number:
O022-0233
Solicitation Topic Code:
OSD02-WT02
Small Business Information
ANNTRON, DIVISION OF OBERON, INC.
1315 S. Allen St. Suite 405, State College, PA, 16801
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
188676790
Principal Investigator
 Scott Thompson
 PI
 (814) 867-2312
 sdt@oberonwireless.com
Business Contact
 Fred Thompson
Title: Chairman
Phone: (814) 867-2312
Email: ajl@oberonwireless.com
Research Institution
N/A
Abstract
Wireless technology provides freedom and flexibility to the users of the Local Area Network (LAN). The standards based (IEEE 802.11) wireless LAN equipment is intended to provide reliable coverage over a limited range of approximately 100 m. However, the wireless LAN transmissions may be detected and exploited at much greater ranges, and can provide an intruder the opportunity to attack or disable the network from a remote site, outside the presumably secured facility. Enhanced standards based authentication and encryption methods will reduce the threat that an intruder will be able to access network resources. But given the resources, and time, to discretely monitor and probe the presumably secured wireless network, the intruder can ultimately compromise the network. Anntron proposes to demonstrate best of class Network Intrusion Detection software on a small field-able sensor with directive antenna called the Wireless Intrusion Detection and Location System (WIDLS). WIDLS can be placed wherever the probability is best for detecting all intruders. WIDLS uses a multi-beam antenna to add sensitivity and directionality to intruder detections. Two sensors can estimate the location of the intruder. A smart antenna algorithm can improve bearing and location estimations. A graphical web interface provides intrusion metrics and recommended responses.

* information listed above is at the time of submission.

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