Abstract: A spam filtering system and method are disclosed for filtering spam destined for a mobile communication device. In the spam filtering system, a processing system receives a message destined for a mobile communication device through an interface. The processing system processes the message based on first filtering criteria to make an initial determination whether the message is suspected of comprising spam. If the processing system determines that the message is not suspected of comprising spam, then the processing system transmits the message to a message center. If the processing system determines that the message is suspected of comprising spam, then the processing system processes the message based on second filtering criteria to make a final determination whether the message comprises spam. If the processing system determines that the message does comprise spam, then the processing system blocks the message.

Abstract: Systems and techniques for classification of incoming text messages into categories. An initial set of categories is created and populated with a set of initial messages in each category. Incoming messages are assigned to a category based on text analysis of the incoming message and analysis of dissimilarities and differences between the message and messages already in the category. A set of unclassified messages is also maintained for incoming messages that do not fit an established category. Periodically, unclassified messages are reassigned to one of the established categories or to new categories created based on analysis of the unclassified messages.

Abstract: In a telecommunications network, a method and apparatus for blocking unwanted messages (spam). A centralized anti-spam network server is used to access data for customized anti-spam services for individual networks and the source and destination terminals of a requested connection. The class of anti-spam service can include, for example, message subject or message content to allow particular types of messages to be blocked. Advantageously, the individual customers and individual networks can perform different levels and different types of spam filtration to meet their needs.

Abstract: A spam filtering system and method are disclosed for filtering spam destined for a mobile communication device. In the spam filtering system, a processing system receives a message destined for a mobile communication device through an interface. The processing system processes the message based on first filtering criteria to make an initial determination whether the message is suspected of comprising spam. If the processing system determines that the message is not suspected of comprising spam, then the processing system transmits the message to a message center. If the processing system determines that the message is suspected of comprising spam, then the processing system processes the message based on second filtering criteria to make a final determination whether the message comprises spam. If the processing system determines that the message does comprise spam, then the processing system blocks the message.

Abstract: A spam filtering system is simplified if it has a black list and white list of source terminals for each destination terminal since all traffic from a white list is automatically completed and all traffic from a black list is automatically blocked. In order to avoid traffic problems from problem sources on a white list, traffic measurements are made of traffic from white list sources. If the traffic level and other thresholds exceed a pre-provisioned parameter, then steps are taken to decrease the allowable traffic rate and other measurements from that source and to examine messages from that source to determine whether they include spam messages. Advantageously, the virtues of a white list (simple examination of messages to determine whether they can be passed) can be retained while avoiding the problems of excessive spam traffic from false white list sources.

Abstract: In a teleconmmunications network a method of detecting unwanted (spam) messages. The content of a suspected spam message is analyzed to determine if the weighted properties and weighted sums of properties of the message exceeds a threshold. If these weighted sums exceed a threshold, the message is treated as a spam message and is subject to human analysis to improve the quality of the weighting factors and the properties that are used in the analysis.

Abstract: A method and apparatus for blocking unwanted messages (spam) in a telecommunications network. Nodes for offering all types of telecommunications services are connected to a centralized anti-spam server. In response to reception of a message request, a node of the network transmits information about the request to the centralized server to obtain permission to transmit the request or an indication that the message should be blocked. Advantageously, a centralized server stores data for all types of network elements thus providing a centralized system for analyzing spam requests from and to all types of network elements.

Abstract: This invention relates to a method and apparatus for blocking spam messages originated in a different network. An anti-spam check is made in response to an initial Send Routing Information (SRI) message received in a destination network of a message. The result of this check is sent back to the originating network along with a destination address of a switch in the destination network, and SRI spam code and Mobile Terminated (MT) Routing Address Correlation ID. If SRI spam code indicates a spam, then subsequent transmission of the MT message with the same Correlation ID is blocked in the interworking switch or SMSC.

Abstract: A method and apparatus for blocking unwanted messages (spam) in a telecommunications network. A location server of the network stores black lists of message sources which are known or believed to be generators of spam messages, or sources from which a particular destination does not wish to receive messages. When a location inquiry is made to a location server, such as a home location register (HLR) of a mobile network or a home subscriber server (HSS) of an Internet Protocol network, wherein is stored a table of sources which have been black listed because they are believed to be sources of spam messages. Advantageously, this arrangement avoids use of network resources to make extensive checks to identify spam messages.