SAMPLES: Self Adaptive Mining of Persistent LExical Snippets for Classifying Mobile Application Traffic
Authors: Hongyi Yao, Gyan Ranjan, Alok Tongaonkar, Yong Liao, Zhuoqing Morley Mao
Abstract
We present SAMPLES: Self Adaptive Mining of Persistent LExical Snippets; a systematic framework for classifying network traffic generated by mobile applications. SAMPLES constructs conjunctive rules, in an automated fashion, through a supervised methodology over a set of labeled flows (the training set).