FPGA-Based Network Traffic Classification Using Machine Learning

FPGA-Based Network Traffic Classification Using Machine Learning

Real-time classification of internet traffic is critical for the efficient management of networks. Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy. In this paper, the suitability of packet-level and flow-level features is valid...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Elnawawy, Mohammed (author)
مؤلفون آخرون:	Sagahyroon, Assim (author), Shanableh, Tamer (author)
التنسيق:	article
منشور في:	2020
الموضوعات:	Feature extraction FPGA Machine learning Random forest Traffic classification
الوصول للمادة أونلاين:	http://hdl.handle.net/11073/19796
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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