Novel approaches in traffic classification

Abstract

Identifying Internet traffic applications is centric to many network security and management tasks. With the steady emergence of Internet applications, encryption and obfuscation techniques, researchers are facing various challenges in accurately identifying different applications. An optimal traffic-classification model has yet to be defined despite of the effort devoted by the research community in the last decade. This thesis aims to provide an analytical review of existing traffic identification methods, while suggesting novel enhancements and approaches.