Telefonaktiebolaget Lm Ericsson (publ)

Gergely Matefi

Csaba Antal

The invention relates to a method, a device (), a system (), a computer program () and a computer program product () for supporting botnet traffic detection. A device () for supporting botnet traffic detection obtains information associated with a first data flow of a first communication device () and information associated with a second data flow of the first communication device () or of a second communication device (), and trains a first and a second prediction model. The first and second prediction models are applied to data traffic and a label based on the outputs of the first and the second prediction models is associated with the traffic, wherein the label either indicates benign traffic or malicious traffic.

Device, method, and system for supporting botnet traffic detection

A call admission control system and method for Internet Protocol (IP) Differentiated Services (DiffServ) network having at least one node for interpreting signaling messages and controlling traffic load in the network. The method consists of an initialization () and a real-time phase (). In initialization phase (), coefficients of the approximating hyperplanes are computed () and stored (). This phase is repeated when the descriptor of a traffic class changes (), which usually happens when nodes are configured or reconfigured. A traffic mix is admissible (), if for each real-time traffic class both the stability () and the delay () constraints are fulfilled. Stability is tested by evaluating the number of lost packets and comparing it to the tolerated packet loss ratio for each class in that queue. Delay constraint is tested by checking if the traffic mix is below at least one of the approximating hyperplanes in the space of number of sessions for each class.

Call admission control system and method for interpreting signaling messages and controlling traffic load in internet protocol differentiated services networks

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Budapest, Hungary

Gergely Matefi