Classification of Normal and Anomalous Activities in a Network by Cascading C4.5 Decision Tree and K‐Means Clustering Algorithms-Reference-Cited by-同舟云学术

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Classification of Normal and Anomalous Activities in a Network by Cascading C4.5 Decision Tree and K‐Means Clustering Algorithms

Published:2022-04-29 Issue: Volume: Page:109-131
ISSN:
Container-title:Social Network Analysis
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Author:

Mohammad Gouse Baig,Shitharth S.,Dileep P.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/9781119836759.ch7

Reference44 articles.

1. Wireless sensor network and IoT based systems for healthcare application;Mohammad G.B.;Mater. Today: Proc.,2021

2. Detection of Position Falsification Attack in VANETs using ACO;Mohammad G.B.;J. Int. J. Control Autom.,2019

3. An enhanced optimization based algorithm for intrusion detection in SCADA network

4. A New Probabilistic Relevancy Classification (PRC) based Intrusion Detection System (IDS) for SCADA network;Shitharth D.;J. Electr. Eng.,2016

5. Security Appraisal conducted on real time SCADA data set using cyber analytic tools;Sangeetha K.;Solid State Technol.,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Intrus-ML: An Intrusion Detection Model Based on Machine Learning;2023 International Conference on Communication, Circuits, and Systems (IC3S);2023-05-26

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