ZigBee IoT Intrusion Detection System: A Hybrid Approach with Rule-based and Machine Learning Anomaly Detection-Reference-Cited by-同舟云学术

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ZigBee IoT Intrusion Detection System: A Hybrid Approach with Rule-based and Machine Learning Anomaly Detection

Published:2020 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International Conference on Internet of Things, Big Data and Security
language:
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Author:

Sadikin Fal¹,Kumar Sandeep¹

Affiliation:

1. Signify Research, Eindhoven, The Netherlands, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 8 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. Advance comprehensive analysis for Zigbee network-based IoT system security;Discover Computing;2024-07-24

2. Data relative currency repair and anomaly detection based on rules;Expert Systems with Applications;2024-06

3. A conceptual framework of Zigbee wireless sensor networks for safety, reliability and security improvement;AIP Conference Proceedings;2024

4. Training and Classification Techniques in Intrusion Detection Systems Based on Network Anomalies Comparative Study;Studies in Computational Intelligence;2024

5. Anomaly Detection of Energy Consumption in Cloud Computing and Buildings Using Artificial Intelligence as a Tool of Sustainability: A Systematic Review of Current Trends, Applications, and Challenges;Artificial Intelligence and Sustainability;2023-11-26

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