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Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification
المؤلفون المشاركون
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-22، 22ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-02-14
دولة النشر
مصر
عدد الصفحات
22
التخصصات الرئيسية
الملخص EN
Accurate network traffic classification at early stage is very important for 5G network applications.
During the last few years, researchers endeavored hard to propose effective machine learning model for classification of Internet traffic applications at early stage with few packets.
Nevertheless, this essential problem still needs to be studied profoundly to find out effective packet number as well as effective machine learning (ML) model.
In this paper, we tried to solve the above-mentioned problem.
For this purpose, five Internet traffic datasets are utilized.
Initially, we extract packet size of 20 packets and then mutual information analysis is carried out to find out the mutual information of each packet on n flow type.
Thereafter, we execute 10 well-known machine learning algorithms using crossover classification method.
Two statistical analysis tests, Friedman and Wilcoxon pairwise tests, are applied for the experimental results.
Moreover, we also apply the statistical tests for classifiers to find out effective ML classifier.
Our experimental results show that 13–19 packets are the effective packet numbers for 5G IM WeChat application at early stage network traffic classification.
We also find out effective ML classifier, where Random Forest ML classifier is effective classifier at early stage Internet traffic classification.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shafiq, Muhammad& Yu, Xiangzhan. 2017. Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-22.
https://search.emarefa.net/detail/BIM-1189000
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shafiq, Muhammad& Yu, Xiangzhan. Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification. Mobile Information Systems No. 2017 (2017), pp.1-22.
https://search.emarefa.net/detail/BIM-1189000
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shafiq, Muhammad& Yu, Xiangzhan. Effective Packet Number for 5G IM WeChat Application at Early Stage Traffic Classification. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-22.
https://search.emarefa.net/detail/BIM-1189000
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1189000
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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