Intrusion detection for 802.11 networks

Award Information
Agency:
Department of Defense
Branch
Office of the Secretary of Defense
Amount:
$98,237.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
N0017803-C-2011
Award Id:
61361
Agency Tracking Number:
O022-0233
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1315 S. Allen St., Suite 405, State College, PA, 16801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
045517344
Principal Investigator:
Scott Thompson
President
(814) 867-2312
sdt@anntron.com
Business Contact:
Fred Thompson
Chairman
(814) 867-2312
ceefred@aol.com
Research Institute:
n/a
Abstract
"Wireless LAN technology provides freedom and flexibility to the Local Area Network. The current standards based (IEEE 802.11) wireless LAN equipment is intended to provide reliable coverage over a limited range of approximately 100m. However, the wirelessLAN transmissions may be detected and exploited at much greater ranges, and can provide an intruder with the opportunity to attack the network from a remote site, outside the secured facility. Existing Network Intrusion Detection Systems (NIDS) can providetools for determining if a network attack is occurring, but they do not provide the system administrator with information about the attackers location. By exploiting in-depth knowledge of the 802.11 Rake Receiver and wireless channel models, it is possibleto characterize wireless clients that are beyond the range of intended coverage. Anntron proposes to evaluate existing NIDSs for military environments. Using in-depth knowledge of 802.11 Rake Receiver and channel models, Anntron will create simulations ofrange estimation using standard 802.11 access point attributes. Anntron will then develop an Intelligent Agent to provide the system administrator with early, spatial information regarding the attack. Anntron will also evaluate using its' own patentpending wireless LAN multi-beam antenna technology to provide additional location information. Modeling and simulations will provide a means of predicting intruder range based on access

* information listed above is at the time of submission.

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