A Framework of Novel Feature Set Extraction based Intrusion Detection System for Internet of Things using Hybrid Machine Learning Algorithms-Reference-Cited by-同舟云学术

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A Framework of Novel Feature Set Extraction based Intrusion Detection System for Internet of Things using Hybrid Machine Learning Algorithms

Published:2018-09 Issue: Volume: Page:
ISSN:
Container-title:2018 International Conference on Computing, Power and Communication Technologies (GUCON)
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Author:

Nivaashini M.,Thangaraj P.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8671767/8674884/08674952.pdf?arnumber=8674952

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Detection Approach for IoT Traffic-Based DDoS Attacks;Communications in Computer and Information Science;2023-12-03

2. A Decision Tree Clubbed Nearest Neighboring Classification Approach for Detecting Intrusion in IoT Networks;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22

3. Toward an intrusion detection model for IoT-based smart environments;Multimedia Tools and Applications;2023-08-10

4. Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine;Digital Communications and Networks;2023-02

5. Statistical feature selection based intrusion detection system for internet of things environment;COMPUTATIONAL INTELLIGENCE AND NETWORK SECURITY;2023

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