z-logo
open-access-imgOpen Access
Online traffic classification for malicious flows using efficient machine learning techniques
Author(s) -
Ying Yenn Chan,
Idris Ismail,
Ban Mohammed Khammas
Publication year - 2021
Publication title -
telkomnika
Language(s) - English
Resource type - Journals
eISSN - 2302-9293
pISSN - 1693-6930
DOI - 10.12928/telkomnika.v19i4.20402
Subject(s) - computer science , machine learning , naive bayes classifier , data mining , artificial intelligence , network packet , curse of dimensionality , tuple , classifier (uml) , process (computing) , traffic classification , support vector machine , computer security , mathematics , discrete mathematics , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here