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International Journal of Communication Technology for Social Networking Services

Volume 6, No. 1, 2018, pp 1-6
http://dx.doi.org/10.21742/ijctsns.2018.6.1.01

Abstract



Bigdata based Network Traffic Feature Extraction



    Jeong-Joon Kim1 , Yong-Soo Lee2 , Jin-Yong Moon3 , Jeong-Min Park4
    1,4Korea Polytechinc University, Gyeonggi-do, Korea
    2Yeoju Institute of Technology, Gyeonggi-do, Korea
    3Gangdong College, Gyeonggi-do, Korea
    1,4e-mail : {jjkim, jmpark}@kpu.ac.kr,
    2e-mail : {diclee}@yit.ac.kr,
    3e-mail : {jmoon37}@gmail.com

    Abstract

    The protocol analyzer is required to analyze the field control device (the embedded device) communication protocol for event logging. However, the conventional analyzer, such as Wireshark is is difficult to process the data identification and extraction of the large variety of protocols for event logging is difficult analysis of the payload data based and classification. Big traffic analysis methods applied to the various data-based analysis technology as an alternative to solve this problem is being studied. In this paper, utilizing big data-based analysis technology was studied to extract various features from the network traffic.


 

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