In this paper we aim to improve the classification performance of mobile apps classifiers adopting a multi-classification approach, intelligently-combining ...
In this paper we aim to improve the classification performance of mobile apps classifiers adopting a multi-classification approach, intelligently-combining.
Sep 11, 2017 · The wide spreading and growing usage of smart-phones are deeply changing the kind of traffic that traverses home and enterprise networks and ...
In this paper we aim to improve the performance of classification of mobile apps traffic by proposing a multi-classification (viz. fusion) approach.
In this paper we aim to improve the classification performance of mobile apps classifiers adopting a multi-classification approach.
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To this end, in this paper we aim to improve the performance of classification of mobile apps traffic by proposing a multi-classification (viz. fusion) approach ...
Deep Learning is suggested as a viable strategy to design traffic classifiers based on automatically-extracted features, reflecting the complex ...
Nov 14, 2017 · To this end, in this paper we aim to improve the performance of classification of mobile apps traffic by proposing a multi-classification (viz.
Nov 14, 2017 · In this paper, we aim to improve the classification perfor- mance of mobile apps by proposing a Multi-Classification Sys- tem (MCS) which ...
The process of associating network traffic with specific applications is known as Traffic Classification (TC) and has a long-established application in several ...