Abstract: A computer includes a processor and a memory connected to the processor. The memory stores instructions executed by the processor to augment a message with network node attributes derived by linking from an original network node specified in the message to additional network nodes associated with the original network node. Message signatures representing the network node attributes are generated. The message signatures are evaluated to characterize the message.

Abstract: A computer includes a processor and a memory connected to the processor. The memory stores instructions executed by the processor to augment a message with network node attributes derived by linking from an original network node specified in the message to additional network nodes associated with the original network node. Message signatures representing the network node attributes are generated. The message signatures are evaluated to characterize the message.

Abstract: A computer includes a processor and a memory connected to the processor. The memory stores instructions executed by the processor to augment a message with network node attributes derived by linking from an original network node specified in the message to additional network nodes associated with the original network node. Message signatures representing the network node attributes are generated. The message signatures are evaluated to characterize the message.

Abstract: A computer includes a processor and a memory connected to the processor. The memory stores instructions executed by the processor to augment a message with network node attributes derived by linking from an original network node specified in the message to additional network nodes associated with the original network node. Message signatures representing the network node attributes are generated. The message signatures are evaluated to characterize the message.

Abstract: Embodiments of the invention provide methods and apparatuses for classifying electronic documents (e.g., electronic communications) as either spam electronic documents or legitimate electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic communications is reduced to a corresponding multidimensional vector based on a multi-dimensional vector space. The multi-dimensional vectors represent corresponding electronic documents that have been classified as at least one type of electronic documents. Subsequent electronic documents to be classified are reduced to a corresponding multi-dimensional vector inserted into the multi-dimensional vector space. The electronic documents corresponding to an inserted multi-dimensional vector are classified based upon the proximity of the inserted multi-dimensional vector to at least one previously classified multi-dimensional vectors of the multi-dimensional vector space.

Abstract: Embodiments of the invention provide methods and apparatuses for classifying electronic documents (e.g., electronic communications) as either spam electronic documents or legitimate electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic communications is reduced to a corresponding multidimensional vector based on a multi-dimensional vector space. The multi-dimensional vectors represent corresponding electronic documents that have been classified as at least one type of electronic documents. Subsequent electronic documents to be classified are reduced to a corresponding multi-dimensional vector inserted into the multi-dimensional vector space. The electronic documents corresponding to an inserted multi-dimensional vector are classified based upon the proximity of the inserted multi-dimensional vector to at least one previously classified multi-dimensional vectors of the multi-dimensional vector space.

Abstract: Embodiments of the invention provide methods and apparatuses for classifying electronic documents (e.g., electronic communications) as either spam electronic documents or legitimate electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic communications is reduced to a corresponding multidimensional vector based on a multi-dimensional vector space. The multi-dimensional vectors represent corresponding electronic documents that have been classified as at least one type of electronic documents. Subsequent electronic documents to be classified are reduced to a corresponding multi-dimensional vector inserted into the multi-dimensional vector space. The electronic documents corresponding to an inserted multi-dimensional vector are classified based upon the proximity of the inserted multi-dimensional vector to at least one previously classified multi-dimensional vectors of the multi-dimensional vector space.

Abstract: Embodiments of the invention provide methods and apparatuses for automatically determining and designating classifications of electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic documents is reduced to a corresponding multidimensional vector based on a multi-dimensional vector space. The distances between multi-dimensional vectors are then evaluated. Multi-dimensional vectors within a specified distance of one another are considered to be a multi-dimensional vector cluster. The multi-dimensional vector space may contain one or more such clusters. Each cluster represents a distinct classification and the electronic documents corresponding to the multi-dimensional vectors of a cluster are classified as such. For one embodiment of the invention features of the electronic documents corresponding to the multi-dimensional vectors of a cluster are used to designate the classification represented by the cluster.

Abstract: Embodiments of the invention provide methods and apparatuses for classifying electronic documents (e.g., electronic communications) as either spam electronic documents or legitimate electronic documents. In accordance with one embodiment of the invention, each of a plurality of electronic communications is reduced to a corresponding multidimensional vector based on a multi-dimensional vector space. The multi-dimensional vectors represent corresponding electronic documents that have been classified as at least one type of electronic documents. Subsequent electronic documents to be classified are reduced to a corresponding multi-dimensional vector inserted into the multi-dimensional vector space. The electronic documents corresponding to an inserted multi-dimensional vector are classified based upon the proximity of the inserted multi-dimensional vector to at least one previously classified multi-dimensional vectors of the multi-dimensional vector space.

Abstract: A single integrated circuit chip interfaces device control circuitry of a device to a client machine via a computer network. The chip comprises an internal data bus; a central processing unit connected to the internal data bus; an internal memory connected to the internal data bus; a device interface connected to the internal data bus, wherein the device interface comprises circuit blocks for communicating digital information between the integrated circuit and the device control circuitry; and a network interface connected to the internal data bus, wherein the network interface comprises circuit blocks for communicating digital information between the integrated circuit and the computer network.