Approximate matching of persistent LExicon using search-engines for classifying Mobile app traffic


We present AMPLES, Approximate Matching of Persistent LExicon using Search-Engines, to address the Mobile-Application-Identification (MApId) problem in network traffic at a per-flow granularity. We transform MApId into an information-retrieval problem where lexical similarity of short-text-documents is used as a metric for classification tasks. Specifically… (More)
DOI: 10.1109/INFOCOM.2016.7524386


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