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Intrusion Detection System based on Machine Learning : A Review

Authors: Pensri Pukkasenung; Thuvanan Borvornvitchotikarn; Duldanai Wanthongchai;

Intrusion Detection System based on Machine Learning : A Review

Abstract

Abstract—Internet of Things (IoT) is a new model for integrating physical and virtual objects to connect in concept as anything anywhere and anytime to transmit information via a global network. It is interoperability and heterogenous of many devices that lead to the vulnerability of the IoT network that allows attackers to attack and disrupt the network. Therefore, additional security tools on IoT network in this paper we proposed a common survey the Intrusion Detection System concept and analyzed Intrusion Detection System (IDS) based on Machine Learning could fulfill this purpose. Keywords—Intrusion Detection System, Machine Learning, Internet of Things, Literature Review

Keywords

Machine Learning, Internet of Things, Security, computer science, Information Technology, IJCSIS

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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