On Detection of Manipulative Cognitive Functions in Cognitive Autonomous Networks

Introduction of artificial intelligence is expected to raise the degree of automation in mobile networks by succeeding Self Organizing Networks (SON) with Cognitive Autonomous Networks (CAN). In CAN, learning based Cognitive Functions (CFs) work on different network parameters to optimize specific Key Performance Indicators (KPIs). However, learning ability of a CF poses a serious threat to the st...