intrusion detection and monitoring for wireless networks

intrusion detection and monitoring for wireless networks

158 Pages · 2005 · 2.37 MB ·

Wireless Network Device Fingerprinting – Frank Hemingway. (Special .. o RF-level interference could increase noise on the wireless network to the weed out duplicate flows at the central aggregation point so that many sensors can be We looked at the efficacy of using a wireless device's location

intrusion detection and monitoring for wireless networks free download


SANDIA REPORT SAND20057408 Unlimited Release Printed November 2005 INTRUSION D ETECTION AND M ONITORING FOR W IRELESS N ETWORKS Jamie Van Randwyk, Dimitry Averin, Ryan P Custer, Jason Franklin, Franklin Hemingway, Dominique Kilman, Erik J Lee, Mark Lodato, Damon McCoy, Kristen Pelon, Amanda Stephano, Pari sa Tabriz, Eric D Thomas Prepared by Sandia National Laboratories Albuquerque, New Mexico 87185 and Livermore, California 94550 Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the United States Department of Energy’s National Nuclear Security Administra tion under Contract DEAC0494AL85000 Approved for public release; fu rther dissemination unlimited Issued by Sandia National Laboratories, operated for the United States Department of Energy by Sandia Corporation NOTICE: This report was prepared as an account of work spon sored by an agency of the United States Government Neither the United States Government, nor any agency thereof, nor any of their employees, nor any of their contractors, subcontractors, or their empl oyees, make any warranty, express or imp lied, or assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represent that its use would not infringe pr ivately owned rights Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or fa voring by the United States Government, any agency thereof, or any of their contractors or subcontractors Th e views and opinions expressed herein do not necessarily state or reflect those of the United St ates Government, any agency thereof, or any of their contractors Printed in the United States of America This report has been reproduced directly from the best available copy Available to DOE and DOE contractors from US Department of Energy Office of Scientific a nd Technical Information PO Box 62 Oak Ridge, TN 37831 Telephone: (865) 5768401 Facsimile: (865) 5765728 EMail: [email protected] Online ordering: http://wwwdoegov/bridge Page 2 of 158 SAND20057408 Unlimited Release Printed November 2005 INTRUSION D ETECTION AND M ONITORING FOR W IRELESS N ETWORKS Document Authors Wireless Network Device Fingerprinting – Frank Hemingway (Special thanks/acknowle dgment to Ratish Punnoose) LocationBased Authentication with Wireless LANs – Eric Thomas OpenSource Wireless Security Tools – Dominique Kilman Developer Notes for Sessionlogger – Jason Franklin, Mark Lodato, Dimitry Averin Sessionlogger manpage – Jason Franklin, Mark Lodato, Dimitry Averin Sniffer manpage – Jason Franklin, Erik Lee Author Info Dimitry Averin [email protected] Polytechnic University Ryan Custer [email protected] Sandia Jason Franklin [email protected] Carnegie Mellon University Frank Hemingway [email protected] University of New Mexico Dominique Kilman [email protected] Sandia Erik Lee [email protected] Sandia Mark Lodato [email protected] Lafayette College Damon McCoy [email protected] University of Colorado, Boulder Kristen Pelon [email protected] Cedarville University Ratish Punnoose [email protected] Sandia Amanda Stephano [email protected] Indiana University Parisa Tabriz [email protected] University of Illinois at UrbanaChampaign Eric Thomas [email protected] Sandia Jamie Van Randwyk [email protected] Sandia Page 3 of 158 Contents I Introduction\ 5 References \ 8 II Augmenting Wireless Intrusion Detection with Visualization 9 Abstract \ 9 Introduction\ 9 Visualization Techniques \ 10 Visualization Tool Architecture \ 10 Specific Tool Descriptions \ 12 Conclusion \ 19 III Wireless Intrusion Detection and Miti gation at the RF (Physical) Layer 21 RF Defined \ 21 RF Vulnerabilities \

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