The research presented in this thesis provides the reader with a set of algorithms and techniques that enable the user to remotely determine what chipset and device driver an 802.11 device is using. The work details both passive and active approaches, and quantitatively gauges the effectiveness of various techniques. The implications of this are far ranging. On one hand, the techniques can be used to implement innovative new features in Wireless Intrusion Detection Systems (WIDS). On the other, they can be used to target link layer device driver attacks with much higher precision.
| Identifer | oai:union.ndltd.org:nps.edu/oai:calhoun.nps.edu:10945/2592 |
| Date | 09 1900 |
| Creators | Ellch, Jonathan P. |
| Contributors | Volpano, Dennis, Eagle, Chris, Naval Postgraduate School, Department of Computer Science |
| Publisher | Monterey, California. Naval Postgraduate School |
| Source Sets | Naval Postgraduate School |
| Detected Language | English |
| Type | Thesis |
| Format | xiv, 69 p. : ill. ;, application/pdf |
| Rights | Approved for public release, distribution unlimited |
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