Fraud Detection and Prevention via Machine Learning in Telecom
Telecom systems merge IP network and so secure communication needs to check the whole systems not only local systems, services. Moreover the systems is getting more complex and the amount of usage is increased. Fraud on VoIP telecom systems has been increasing while VoIP usage is enhanced and merged with other communication systems, services.
The traditional CIA (Confidentiality, Integrity, and Availability) model of cyber security is insufficient to prevent fraud as a threat. Big & fast data analytics, machine learning and enhanced rule platforms based on logical expressions are necessary to deal with fraud detection and prevention. We will discuss the problems and solutions in the presentation. Moreover machine learning method outputs will be presented.