Polaris Wireless, Inc.

Booz Allen Hamilton Inc.

Chee-Yee Chong

Paolo L Siccardo

Robert Morris Dressler

Padmanabha R Rao

Luis Perez-Breva

David S Spain

Erich J Smythe

Lester J Gong

A method and system are disclosed for processing data from a computer network to determine an occurrence of and characterize a particular activity associated with the computer network. In accordance with exemplary embodiments of the present invention, a collection of data is managed that corresponds to events associated with the computer network. At least one model is established to correlate an occurrence of a predetermined set of events. At least one hypothesis is formed, using the at least one model, that characterizes the particular activity associated with the computer network. The at least one hypothesis is evaluated using the at least one model. The steps of forming and evaluating are performed interactively with the step of managing to iteratively update the collection of data.

Method and system for assessing attacks on computer networks using Bayesian networks

A method for determining the location of a mobile unit (MU) in a wireless communication system and presenting it to a remote party. The location of a remote MU is determined by comparing a snapshot of a predefined portion of the radio-frequency (RF) spectrum taken by the MU to a reference database containing multiple snapshots taken at various locations. The result of the comparison is used to determine if the MU is at a specific location. The comparison may be made in the MU, or at some other location situated remotely from the MU. In the latter case, sufficient information regarding the captured fingerprint is transmitted from the MU to the remote location. The database may be pre-compiled or generated on-line.

Location determination using RF fingerprinting

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Los Altos, CA, United States of America

Chee-Yee Chong