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Traffic analysis of internet applications on mobile devices over lte and wireless networks

Abstract:

Traffic analysis and classification is an important requirement to enhance network security and to optimize the quality of service policies. In this paper, we propose to analyze the traffic of most common internet applications based on SSL and HTTP protocols on mobile devices, through the collected data by means of a packet sniffer, over LTE and Wireless network. This study is focused on the packet size parameter and allows us to perform a statistical comparison of this parameter among the most commonly used internet applications in smart phones. Numerical results show that most of the analyzed applications have a bimodal behavior with packets around 30 and 1.500 bytes, with small differences in both scenarios. It is also observed that SSL/HTTPS packets represents a big impact over TCP traffic. Finally, numerical parameters for a probability density function distribution are presented in order to estimate and simulate such traffic.