Abstract: Contact information in SIP signaling messages is modified at each in-path network device during the signaling process (along with storage of mapping information) to allow the in-path network devices (and proxy server) to identify the next (or previous) hop device in the path, and thus, maintain the path taken by signaling messages early on during the signaling process. Subsequent request and response signaling messages transmitted during the session follow this path, which ensures that the in-path network devices remain in the SIP signaling path.

Abstract: A service for searching for unsolicited communications is provided. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these communications to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the voice. The voice sample may also be used to determine the type of voice—i.e., if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.

Abstract: A service for searching for unsolicited communications is provided. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these communications to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the voice. The voice sample may also be used to determine the type of voice—i.e., if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.

Abstract: A service for searching for unsolicited communications is provided. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these communications to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the voice. The voice sample may also be used to determine the type of voice—i.e., if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.

Abstract: A service is configured to analyze multimedia communications to determine a likelihood that the communication is unsolicited. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these forms of communication to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the identity of the voice. The voice sample may also be used to determine the type of voice—i.e. if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.

Abstract: Hard Currency is used as common denominator to value product and services. In the complete digital world, this common denominator can be dealt only in computing devices and we don't need hard currencies. Henceforth it is further referred as Soft Earning Unit(s) (SEU). The invention is intended for extending Currency Code Table and multiplier for SEU's of different geographic region(s) used in various application(s) for SEU. The invention includes the changes for Credit and Debit Card for SEU environment. The invention also includes change in the computing infrastructure for SEU and mix of SEU and Hard Currency environment.

Abstract: Current systems and business processes transactions deal in hard currencies. In the complete digital world, the common denominator further referred as Soft Earning Unit(s) with acronym SEU to value the products and services will be dealt only in computing devices. The invention pertains to adopt the existing application (s) including but not limited to computing application for dealing in SEU. The invention includes system and method for adapter module which takes the stimulus containing SEU and translates it to the form understandable by the existing application(s). The invention includes the claim for adapting the check mode of payment to the SEU environment.

Abstract: A service is configured to analyze multimedia communications to determine a likelihood that the communication is unsolicited. For example, the service may inspect e-mail messages, instant messaging messages, facsimile transmissions, voice communications, and video telephony, and analyze these forms of communication to determine whether an intended communication is unsolicited. In connection with voice and video telephony, a voice sample may be obtained from the caller and voice recognition may be performed on the sample to determine an identity of the person or the identity of the voice. The voice sample may also be used to determine the type of voice—i.e. if the voice is live, machine generated, or prerecorded. Where the call is a video telephony call, image recognition may be used to inspect an image of the person. The information obtained from voice recognition, voice type recognition, and image recognition may be used to detect whether the messages if from a known source of unsolicited communications.

Abstract: SIP signaling may be used to indicate the presence of SPAM on a multimedia network. A new SIP method type, SIP header, extension to an existing header, SIP error code or SDP message, may all be used to indicate that the session is related to SPAM or to communicate the identity of the person that has sent an unsolicited communication. SPAM signaling may be performed before the called party has been alerted, by an intermediate network element/service, or by the called party after the session has been established. SIP signaling may be used after the session has been torn down. The SPAM indication mechanism may be used whenever SIP signaling is used to establish a session, including for voice telephone calls, Instant Messaging session/page mode, Audio/Video Session, Presence information exchange, FAX, or any combination of these media types.