IOT Network Feature Based Intrusion Detection Techniques- Review

Communication networks become mobile and dynamic with the usage of portable wireless devices. The Internet of Things network's flexibility creates a risky environment for a variety of applications. Therefore, there is a significant possibility of an attack in such a network. In order to secure...

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Bibliographic Details
Published in2022 IEEE International Conference on Current Development in Engineering and Technology (CCET) pp. 1 - 5
Main Authors Chaudhary, Diwakar Kumar, Yadav, Pritaj, Gupta, Sanjeev, Jha, Kanchan
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.12.2022
Subjects
Deep Learning
Feature Optimization
Genetic Algorithm
Intrusion Detection
Soft Computing
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Summary:Communication networks become mobile and dynamic with the usage of portable wireless devices. The Internet of Things network's flexibility creates a risky environment for a variety of applications. Therefore, there is a significant possibility of an attack in such a network. In order to secure various types of networks, researchers' work in the subject of intrusion detection has been described in this paper. The architecture of the IDS was discussed as per networks with its types. Models proposed by the authors were detailed with techniques used for the detection of intrusion in different environments. The further paper has listed compared various techniques and listed strengths with limitations. Finally, evaluation parameters were listed to compare models of intrusion detection systems.
DOI:10.1109/CCET56606.2022.10080392