Abstract: A method and system are provided for use in detecting and preventing attacks in a communications network. In one example, the method includes calculating first and second traffic volumes based on messages received at a first time and a second time, respectively. An average acceleration is calculated based on the first and second traffic volumes, and the method identifies whether the average acceleration has crossed a threshold. The messages are serviced only if the average acceleration has not crossed the threshold.

Abstract: A method and system are provided for use in detecting and preventing attacks in a communications network. In one example, the method includes calculating first and second traffic volumes based on messages received at a first time and a second time, respectively. An average acceleration is calculated based on the first and second traffic volumes, and the method identifies whether the average acceleration has crossed a threshold. The messages are serviced only if the average acceleration has not crossed the threshold.

Abstract: A system, method and apparatus authenticates and protects an Internet Protocol (IP) user-end device by providing a client-based security software resident on the IP user-end device, authenticating the IP user-end device using the client-based security software and a network security node communicably coupled to the IP user-end device, authenticating a user of the IP user-end device whenever a trigger condition occurs using an in-band channel between the client-based security software and the network security node, and protecting the IP user-end device by: (a) screening incoming IP traffic to the IP user-end device using the client-based security software, and (b) detecting an attack or a threat involving the IP user-end device using the network security node.

Abstract: The present invention provides a system, method and apparatus for providing network level and nodal level vulnerability protection in VoIP networks by receiving a communication, filtering the received communication using three or more stages selected from the group comprising a media protection and filtering plane, a policy based filtering plane, a signature based filtering plane, a protocol anomaly detection and filtering plane and a behavioral learning based filtering plane, and either allowing or denying the received communication based the filtering step. The stages are applicable to one or more protocols including SIP, IMS, UMA, H.248, H.323, RTP, CSTA/XML or a combination thereof. In addition, the stages can be implemented within a single device or are distributed across a network (e.g., SIP network, a UMA network, an IMS network or a combination thereof).

Abstract: The present invention provides a system, method and apparatus for automatically classifying voice communications, such as voice messages and phone calls in prerecorded voicemails (one speaker) and two-way conversations, as either spam or legitimate signals in a communications system (e.g., SIP, IMS, UMA, etc.). More specifically, the present invention classifies a voice communication session by receiving one or more voice communication packets associated with the voice communication session, extracting one or more properties from the received voice communication packets and classifying the voice communication session based on the extracted properties. The present invention can also be implemented as a computer program embodied on a computer readable medium wherein each step is performed by one or more code segments.

Abstract: A method and system are provided for use in detecting and preventing attacks in a communications network. In one example, the method includes calculating first and second traffic volumes based on messages received at a first time and a second time, respectively. An average acceleration is calculated based on the first and second traffic volumes, and the method identifies whether the average acceleration has crossed a threshold. The messages are serviced only if the average acceleration has not crossed the threshold.