Realtime Data Traffic Analyser Locomotive of Big Data Analytics
Fatma Asad Al Jarah1, Mazhar Hussain Malik2
1Fatma Asad Al Jarah*, Department of Computing, Global College of Engineering and Technology, Muscat, Oman.
2Mazhar Hussain Malik, Department of Computing, Global College of Engineering and Technology, Muscat, Oman.
Manuscript received on February 28, 2020. | Revised Manuscript received on March 22, 2020. | Manuscript published on March 30, 2020. | PP: 5643-5646 | Volume-8 Issue-6, March 2020. | Retrieval Number: F9809038620/2020©BEIESP | DOI: 10.35940/ijrte.F9809.038620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Real-time Data traffic, Mean Field, UDP, TCP, Big Data
Scope of the Article: Network Traffic Characterization And Measurements.