Abstract: A method for protecting SIP (Session Initiation Protocol)-based applications wherein SIP messages are analyzed and malicious SIP messages that potentially constitute a security risk for the SIP-based application are identified is discloses. Regarding a realization of a particularly high security [level] with means that are easy to implement—a pre-definable number N of pre-configurable parameters—identities—is extracted from the SIP messages and that for each SIP message a comparison of the identities with the identities extracted from previous SIP message is performed, on the base of which a maliciousness level ML is assessed for every SIP message.

Abstract: A method for identifying undesired telephone calls (Spit/Spam over IP), preferably in a VoIP network, in which the telephone calls coming in for a telephone subscriber, the callee, from at least one calling telephone subscriber, the caller, are subjected to a test or more precisely to a statistical analysis. The method is developed in such a manner that in the framework of the test for incoming calls, the time of the receipt of each call is determined and in each case the probability that the call is undesired is determined, where for the calculation of the probability the time of the receipt of the call, or a parameter dependent thereon, is related to the temporal distribution of previous undesired calls.

Abstract: A method of transmitting data from customers (C1, C2, C3, C4, C5, C6, C7, C8, C9, C10) over a computer network, in particular over the Internet, where the data to be sent is split into packets, in particular into IP packets, where each packet is marked by one of at least two states (IN, OUT) and where the states (IN, OUT) determine which packets are dropped first, if packets are dropped during transmission, is, with regard to optimizing the drop rate of the packets, characterized in that the marking of the packet with a state of high drop precedence (OUT) is based on a random probability (p).

Abstract: A method for identifying undesired telephone calls (Spit/Spam over IP), preferably in a VoIP network, in which the telephone calls coming in for a telephone subscriber, the callee, from at least one calling telephone subscriber, the caller, are subjected to a test or more precisely to a statistical analysis. The method is developed in such a manner that in the framework of the test for incoming calls, the time of the receipt of each call is determined and in each case the probability that the call is undesired is determined, where for the calculation of the probability the time of the receipt of the call, or a parameter dependent thereon, is related to the temporal distribution of previous undesired calls.

Abstract: A method for protecting SIP (Session Initiation Protocol)-based applications wherein SIP messages are analyzed and malicious SIP messages that potentially constitute a security risk for the SIP-based application are identified is discloses. Regarding a realization of a particularly high security [level] with means that are easy to implement—a pre-definable number N of pre-configurable parameters—identities—is extracted from the SIP messages and that for each SIP message a comparison of the identities with the identities extracted from previous SIP message is performed, on the base of which a maliciousness level ML is assessed for every SIP message.

Abstract: A method of transmitting data from customers (C1, C2, C3, C4, C5, C6, C7, C8, C9, C10) over a computer network, in particular over the Internet, where the data to be sent is split into packets, in particular into IP packets, where each packet is marked by one of at least two states (IN, OUT) and where the states (IN, OUT) determine which packets are dropped first, if packets are dropped during transmission, is, with regard to optimizing the drop rate of the packets, characterized in that the marking of the packet with a state of high drop precedence (OUT) is based on a random probability (p).