A Hadoop Based Framework Integrating Machine Learning Classifiers for Anomaly Detection in the Internet of Things

A Hadoop Based Framework Integrating Machine Learning Classifiers for Anomaly Detection in the Internet of Things

In recent years, different variants of the botnet are targeting government, private organizations and there is a crucial need to develop a robust framework for securing the IoT (Internet of Things) network. In this paper, a Hadoop based framework is proposed to identify the malicious IoT traffic usi...

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Bibliographic Details
Main Authors: Ikram Sumaiya Thaseen, Vanitha Mohanraj, Sakthivel Ramachandran, Kishore Sanapala, Sang-Soo Yeo
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Electronics
Subjects:
Hadoop
Internet of Things
anomaly detection
artificial immune network
hyperparameters
K-nearest neighbor
Online Access:https://www.mdpi.com/2079-9292/10/16/1955

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