Realtime Data Traffic Analyser Locomotive of Big Data Analytics

  • Jarah* F
  • et al.
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Abstract

Since last decade, the exponential growth of the internet users and the size of data over the internet is increasing day by day, which lead to increase the complexity of the systems by implementing policies and security to avoid attacks on systems and networks. It is very important to understand and analyses the real time data traffic of the communication systems. The purpose of this paper to design a customized Java based application which enables analysts to capture the traffic at the bottleneck under the mean field communication environment where a large number of devices are communicating with each other. The sending data for further processing for analysis the trend to overcome vulnerabilities or to manage the effectiveness of the communication systems. The proposed application enables to capture 8 different types of protocol traffic such as HTTP, HTTPS, SMTP, UDP, TCP, ICMP and POP3. The application allows for analysis of the incoming/outgoing traffic in the visual to understand the nature of communication networks which lead to improve the performance of the networks with respect to hardware, software, data storage, security and reliability.

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APA

Jarah*, F. A. A., & Malik, M. H. (2020). Realtime Data Traffic Analyser Locomotive of Big Data Analytics. International Journal of Recent Technology and Engineering (IJRTE), 8(6), 5643–5646. https://doi.org/10.35940/ijrte.f9809.038620

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