Klasifikátor detekující útoky ve VoIP infrastruktuře

Abstract

Bachelor's thesis aim is to create classifier for detecting attacks in the VoIP infrastructure. In the first part of thesis, security of VoIP and potential threats with corresponding defense are discussed. Second part deals with honeypots, particularly with their attributes, types a differences among them. In the third part of thesis is discussed recognizing threats using decision tree that has been designed in Matlab and another tool called WEKA, both applied on the real traffic data.