Published September 13, 2021
| Version v1
Journal article
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Intrusion Detection System based on Machine Learning : A Review
Authors/Creators
- 1. Faculty of Science and Technology Rajabhat Rajanagarindra University Chachoengsao, Thailand
- 2. Center for Information Technology and Communication Services University of Phayao Phayao, Thailand
- 3. Faculty of Science and Technology Loei Rajabhat University Loei, Thailand
Description
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
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09 Paper 01082122 IJCSIS Camera Ready pp74-77.pdf
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