Network intrusion detection system using supervised learning paradigm

Author:

Mebawondu J. Olamantanmi,Alowolodu Olufunso D.,Mebawondu Jacob O.,Adetunmbi Adebayo O.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference22 articles.

1. A PhD Dissertation submitted to the Department of Computer Science;Adetunmbi,2008

2. A data mining approach to network intrusion detection;Adetunmbi;J. Comput. Sci. Appl.,2007

3. AlSallal M. (2017), An integrated approach for intrinsic plagiarism detection. https://Securityintelligence.comretrieved on 24/9/2019

4. On the effectiveness of monitoring for intrusion detection in mobile ad hoc networks;Boppana;IEEE Trans. Mob. Comput.,2011

5. Testing of IDS model using several intrusion detection tools;Ennert;J. Appl. Math. Comput. Mech.,2015

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