Network Anomaly Detection inside Consumer Networks—A Hybrid Approach

Network Anomaly Detection inside Consumer Networks—A Hybrid Approach

With an increasing number of Internet of Things (IoT) devices in the digital world, the attack surface for consumer networks has been increasing exponentially. Most of the compromised devices are used as zombies for attacks such as Distributed Denial of Services (DDoS). Consumer networks, unlike mos...

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Bibliographic Details
Main Authors: Darsh Patel, Kathiravan Srinivasan, Chuan-Yu Chang, Takshi Gupta, Aman Kataria
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Electronics
Subjects:
data mining
anomaly detection
machine learning
IoT
Online Access:https://www.mdpi.com/2079-9292/9/6/923

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