A Hybrid Intrusion Detection System for Smart Home Security Based on Machine Learning and User Behavior

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Advances in Internet of Things

ISSN Print: 2161-6817
ISSN Online: 2161-6825
www.scirp.org/journal/ait
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"A Hybrid Intrusion Detection System for Smart Home Security Based on Machine Learning and User Behavior"
written by Faisal Alghayadh, Debatosh Debnath,
published by Advances in Internet of Things, Vol.11 No.1, 2021

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions
	Future Internet, 2024

[2]	Intrusion Detection System (IDS) in Cloud Computing using Machine Learning Algorithms: A Comparative Study.
	Grenze International Journal …, 2024

[3]	Dynamic hierarchical intrusion detection task offloading in IoT edge networks
	Software: Practice and …, 2024

[4]	Internet of Things Security Early Warning Model Based on Deep Learning in Edge Computing Environment
	Journal of Circuits, Systems …, 2024

[5]	Evaluation of IoT-Based Smart Home Assistance for Elderly People Using Robot
	Electronics, 2023

[6]	Enhancement of an IoT hybrid intrusion detection system based on fog-to-cloud computing
	Journal of Cloud Computing, 2023

[7]	Quality Control: An Anthology of Cases
	2023

[8]	Exploring Machine Learning in IoT Smart Home Automation
	2023 IEEE 8th …, 2023

[9]	Intrusion Detection in IoT Devices Using ML and DL Models with Fisher Score Feature Selection
	… on Cryptology & Network Security with …, 2023

[10]	Machine learning based theoretical and experimental analysis of ddos attacks in cloud computing
	2023 International Conference on …, 2023

[11]	Improving intrusion detection in cloud-based healthcare using neural network
	Biomedical Signal Processing and Control, 2023

[12]	DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection
	arXiv preprint arXiv …, 2023

[13]	A systematic review on hybrid intrusion detection system
	Security and Communication Networks, 2022

[14]	Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model
	Information Sciences, 2022

[15]	KlugOculus: A Vision-Based Intelligent Architecture for Security System
	Computational …, 2022

[16]	Outlier detection with optimal hybrid deep learning enabled intrusion detection system for ubiquitous and smart environment
	Sustainable Energy Technologies and Assessments, 2022

[17]	KlugOculus: A Vision‐Based Intelligent Architecture for Security System
	Computational …, 2022

[18]	Intruder Alert System in Smart Home based on IoT Technique
	… on Power, Energy …, 2022

[19]	IoT Based Smart Home with Cutting-Edge Technology for IDS/IPS
	2022 Second International Conference …, 2022

[20]	Evaluation of Smart Home Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness & Sustainability
	… on Universal Village …, 2022

[21]	Behavior-Rule Specification-based IDS for Safety-Related Embedded Devices in Smart Home
	2021 World Automation …, 2021

[22]	An edge based hybrid intrusion detection framework for mobile edge computing
	2021

[23]	Analysis of Anomaly Detection Approaches Performed Through Deep Learning Methods in SCADA Systems
	2021

[24]	Intrusion Detection System Based on Particle Swarm Optimization in Mobile Ad-hoc Network: A Survey
	2016

[25]	CYBROG-Based Smart Home Security and Power-Saving Control System Using Hybrid Technique


[26]	ArticlesCYBROG-Based Smart Home Security and Power-Saving Control System Using Hybrid Technique

[1]	Proceedings of the International Conference on Artificial Intelligence, Security, and Networking (CAISN 2024) Lecture Notes in Networks and Systems, 2026 DOI:10.1007/978-3-032-03695-7_7

[2]	Proceedings of International Conference on Computational Intelligence and Information Retrieval Lecture Notes in Networks and Systems, 2026 DOI:10.1007/978-3-032-02790-0_37

[3]	Comparative Analysis of Decision Tree, Random Forest, and XGBoost for IoT Intrusion Detection in Smart Home 2025 IEEE 2nd International Conference on Cryptography, Informatics, and Cybersecurity (ICoCICs), 2025 DOI:10.1109/ICoCICs68032.2025.11384070

[4]	A novel deep learning-based framework with particle swarm optimisation for intrusion detection in computer networks PLOS ONE, 2025 DOI:10.1371/journal.pone.0316253

[5]	Emerging Electronics and Automation Lecture Notes in Electrical Engineering, 2025 DOI:10.1007/978-981-97-3090-2_3

[6]	Enhancing Consumer Electronics Security in Smart Homes with t-SNE Feature Selection and Seagull Optimized Deep Learning Model 2025 IEEE International Conference on Consumer Electronics (ICCE), 2025 DOI:10.1109/ICCE63647.2025.10930022

[7]	Enhancing IoT-Driven Smart Home Security and Automation with a GCN Model 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS), 2025 DOI:10.1109/ICICACS65178.2025.10968605

[8]	Computational Intelligence Techniques for 5G Enabled IoT Networks Advances in Science, Technology & Innovation, 2025 DOI:10.1007/978-3-031-82733-4_5

[9]	Towards a lightweight hybrid multimodal approach for intrusion detection in edge-enabled IoT devices Cluster Computing, 2025 DOI:10.1007/s10586-025-05723-0

[10]	Cost-Efficient Automated Intrusion Detection and Reporting System for Homes in Nigeria ABUAD Journal of Engineering Research and Development (AJERD), 2024 DOI:10.53982/ajerd.2024.0702.35-j

[11]	DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection Sensors, 2024 DOI:10.3390/s24092746

[12]	A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions Future Internet, 2024 DOI:10.3390/fi16040139

[13]	Cryptology and Network Security with Machine Learning Lecture Notes in Networks and Systems, 2024 DOI:10.1007/978-981-97-0641-9_8

[14]	Dynamic hierarchical intrusion detection task offloading in IoT edge networks Software: Practice and Experience, 2024 DOI:10.1002/spe.3338

[15]	Internet of Things Security Early Warning Model Based on Deep Learning in Edge Computing Environment Journal of Circuits, Systems and Computers, 2024 DOI:10.1142/S0218126624501627

[16]	Securing Smart Homes Using Hybrid Stacking Ensemble Deep Learning-Enabled Framework 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI), 2023 DOI:10.1109/EICEEAI60672.2023.10590271

[17]	Improving intrusion detection in cloud-based healthcare using neural network Biomedical Signal Processing and Control, 2023 DOI:10.1016/j.bspc.2023.104680

[18]	Enhancement of an IoT hybrid intrusion detection system based on fog-to-cloud computing Journal of Cloud Computing, 2023 DOI:10.1186/s13677-023-00420-y

[19]	Machine Learning Based Theoretical and Experimental Analysis of DDoS Attacks in Cloud Computing 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), 2023 DOI:10.1109/DICCT56244.2023.10110201

[20]	Evaluation of IoT-Based Smart Home Assistance for Elderly People Using Robot Electronics, 2023 DOI:10.3390/electronics12122627

[21]	Exploring Machine Learning in IoT Smart Home Automation 2023 IEEE 8th International Conference On Software Engineering and Computer Systems (ICSECS), 2023 DOI:10.1109/ICSECS58457.2023.10256283

[22]	Evaluation of Smart Home Systems and Novel UV-Oriented Solution for Integration, Resilience, Inclusiveness & Sustainability 2022 6th International Conference on Universal Village (UV), 2022 DOI:10.1109/UV56588.2022.10185519

[23]	A Systematic Review on Hybrid Intrusion Detection System Security and Communication Networks, 2022 DOI:10.1155/2022/9663052

[24]	KlugOculus: A Vision-Based Intelligent Architecture for Security System Computational Intelligence and Neuroscience, 2022 DOI:10.1155/2022/3722527

[25]	Outlier detection with optimal hybrid deep learning enabled intrusion detection system for ubiquitous and smart environment Sustainable Energy Technologies and Assessments, 2022 DOI:10.1016/j.seta.2022.102311

[26]	Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model Information Sciences, 2022 DOI:10.1016/j.ins.2022.07.104

[27]	An edge based hybrid intrusion detection framework for mobile edge computing Complex & Intelligent Systems, 2022 DOI:10.1007/s40747-021-00498-4

[28]	Quality Control - An Anthology of Cases [Working Title] 2022 DOI:10.5772/intechopen.107423

[29]	IoT Based Smart Home with Cutting-Edge Technology for IDS/IPS 2022 Second International Conference on Advanced Technologies in Intelligent Control, Environment, Computing & Communication Engineering (ICATIECE), 2022 DOI:10.1109/ICATIECE56365.2022.10047483

[30]	Intruder Alert System in Smart Home based on IoT Technique 2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), 2022 DOI:10.1109/ICPECTS56089.2022.10047243

[31]	Behavior-Rule Specification-based IDS for Safety-Related Embedded Devices in Smart Home 2021 World Automation Congress (WAC), 2021 DOI:10.23919/WAC50355.2021.9559588

[32]	Analysis of Anomaly Detection Approaches Performed Through Deep Learning Methods in SCADA Systems 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2021 DOI:10.1109/HORA52670.2021.9461273

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