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DDoS attack detection in smart home applications

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1 of the 33 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2021/6136670 (notice 2023-12-06).

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/dac.4389openalex-snapshot
Fog‐SDN: A light mitigation scheme for DDoS attack in fog computing framework
inferredcites →https://doi.org/10.1007/978-3-642-22540-6_42openalex-snapshot
Evaluating Machine Learning Algorithms for Detecting DDoS Attacks
inferredcites →https://doi.org/10.1007/978-981-10-0135-2_36openalex-snapshot
An Approach to Secure Internet of Things Against DDoS
inferredcites →https://doi.org/10.1007/978-981-13-5934-7_29openalex-snapshot
Prediction of Employee Turnover Using Ensemble Learning
inferredcites →https://doi.org/10.1007/bf00116251openalex-snapshot
Induction of Decision Trees
inferredcites →https://doi.org/10.1016/j.asoc.2014.01.028openalex-snapshot
A novel hybrid KPCA and SVM with GA model for intrusion detection
inferredcites →https://doi.org/10.1016/j.dcan.2017.07.001openalex-snapshot
Edge computing technologies for Internet of Things: a primer
inferredcites →https://doi.org/10.1016/j.future.2018.07.017openalex-snapshot
An early detection of low rate DDoS attack to SDN based data center networks using information distance metrics
inferredcites →https://doi.org/10.1016/j.jnca.2005.06.003openalex-snapshot
Modeling intrusion detection system using hybrid intelligent systems
inferredcites →https://doi.org/10.1016/j.jocs.2017.03.006openalex-snapshot
Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model
inferredcites →https://doi.org/10.1016/j.procs.2021.02.003openalex-snapshot
A DDoS Attack Mitigation Framework for IoT Networks using Fog Computing
inferredcites →https://doi.org/10.1109/access.2019.2907965openalex-snapshot
Toward a Lightweight Intrusion Detection System for the Internet of Things
inferredcites →https://doi.org/10.1109/access.2020.3009843openalex-snapshot
CICIDS-2017 Dataset Feature Analysis With Information Gain for Anomaly Detection
inferredcites →https://doi.org/10.1109/iaw.2005.1495950openalex-snapshot
A machine learning framework for network anomaly detection using SVM and GA
inferredcites →https://doi.org/10.1109/ic3i.2014.7019692openalex-snapshot
Intrusion detection model using fusion of PCA and optimized SVM
inferredcites →https://doi.org/10.1109/icacci.2018.8554590openalex-snapshot
Performance Comparison and Analysis of Slowloris, GoldenEye and Xerxes DDoS Attack Tools
inferredcites →https://doi.org/10.1109/icca51439.2020.9264568openalex-snapshot
Intrusion Detection Using Principal Component Analysis and Support Vector Machines
inferredcites →https://doi.org/10.1109/icmla.2011.49openalex-snapshot
Comparison of Classification Techniques used in Machine Learning as Applied on Vocational Guidance Data
inferredcites →https://doi.org/10.1109/mce.2021.3051813openalex-snapshot
Collaborative Edge Computing for Smart Villages [Energy and Security]
inferredcites →https://doi.org/10.1109/mcom.2018.1700895openalex-snapshot
Green and Sustainable Cloud of Things: Enabling Collaborative Edge Computing
inferredcites →https://doi.org/10.1109/mic.2017.36openalex-snapshot
Fog Orchestration for Internet of Things Services
inferredcites →https://doi.org/10.1109/mnet.2018.1700364openalex-snapshot
Enabling Collaborative Edge Computing for Software Defined Vehicular Networks
inferredcites →https://doi.org/10.1109/noms47738.2020.9110473openalex-snapshot
A OneM2M Intrusion Detection and Prevention System based on Edge Machine Learning
inferredcites →https://doi.org/10.1109/rteict.2017.8256654openalex-snapshot
DDoS attack defense framework for cloud using fog computing
inferredcites →https://doi.org/10.1109/spaces.2015.7058223openalex-snapshot
Performance analysis of NSL-KDD dataset using ANN
inferredcites →https://doi.org/10.1155/2021/6136670openalex-snapshot
Software Defined Network Enabled Fog-to-Things Hybrid Deep Learning Driven Cyber Threat Detection System
inferredcites →https://doi.org/10.1155/2022/3747302openalex-snapshot
DI-ADS: A Deep Intelligent Distributed Denial of Service Attack Detection Scheme for Fog-Based IoT Applications
inferredcites →https://doi.org/10.1186/s13677-021-00250-wopenalex-snapshot
An edge-cloud collaborative computing platform for building AIoT applications efficiently
inferredcites →https://doi.org/10.1371/journal.pone.0166017openalex-snapshot
Feature Selection Using Information Gain for Improved Structural-Based Alert Correlation
inferredcites →https://doi.org/10.3390/app9010178openalex-snapshot
A Lightweight Perceptron-Based Intrusion Detection System for Fog Computing
inferredcites →https://doi.org/10.3390/electronics9071120openalex-snapshot
Intrusion Detection System for the Internet of Things Based on Blockchain and Multi-Agent Systems
inferredcites →https://doi.org/10.3390/proceedings2020063051openalex-snapshot
A Machine Learning Approach for DDoS (Distributed Denial of Service) Attack Detection Using Multiple Linear Regression
inferredcites →https://doi.org/10.3390/sym14061095openalex-snapshot
Machine-Learning-Based DDoS Attack Detection Using Mutual Information and Random Forest Feature Importance Method

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/spe.3319openalex-snapshot
Blockchain and explainable AI for enhanced decision making in cyber threat detection
inferred← citeshttps://doi.org/10.1002/spe.3338openalex-snapshot
Dynamic hierarchical intrusion detection task offloading in IoT edge networks
inferred← citeshttps://doi.org/10.1007/978-3-031-81168-5_29openalex-snapshot
Attack Detection in Smart Home IoT Networks: A Survey on Challenges, Methods and Analysis
inferred← citeshttps://doi.org/10.1007/s11227-024-06408-yopenalex-snapshot
A semantic model based on ensemble learning and attribute-based encryption to increase security of smart buildings in fog computing
inferred← citeshttps://doi.org/10.1007/s13278-026-01578-4openalex-snapshot
Robust DDoS detection based on adversarial trained graph neural networks with proximal optimization
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.100903openalex-snapshot
A multi-dimensional study of IoT DDoS in smart environments: SDN integration, taxonomy, security gaps, and emerging defenses
inferred← citeshttps://doi.org/10.1109/esic64052.2025.10962723openalex-snapshot
Weighted Graph Clustering with PaCCo
inferred← citeshttps://doi.org/10.1109/esic68176.2026.11495770openalex-snapshot
FedSBS: A Privacy-Preserving Approach for Prediction in Smart Bus Systems Using Federated Learning
inferred← citeshttps://doi.org/10.1109/isac364032.2025.11156933openalex-snapshot
Temporal Pattern-Aware Intrusion Detection in Smart Homes via SCOA-Driven Feature Selection and Deep Learning
inferred← citeshttps://doi.org/10.1109/isssc66652.2025.11388204openalex-snapshot
Evaluating the Performance of Various Machine Learning Algorithms on a Star-Type Dataset
inferred← citeshttps://doi.org/10.1109/ocit65031.2024.00046openalex-snapshot
Disease Prediction: A State-of-the-Art Review on Heart Disease Prediction Models
inferred← citeshttps://doi.org/10.1109/ocit65031.2024.00071openalex-snapshot
Detection Coverage of ML-Based Classification Models for Network Intrusion Detection by the Application of Varied Pre-Processing Techniques
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11399988openalex-snapshot
Lung Cancer Cell Detection Using YOLOv8: A Deep Learning Approach for Medical Imaging
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400208openalex-snapshot
Evo-Cluster: A Bio-Inspired AI Framework for Handoff Optimization in Software-Defined Wireless Networks
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400215openalex-snapshot
A Reverse Firewall & Re-Encryption Model Supported Peks Model for Security in Health Based Applications
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400216openalex-snapshot
Recent Advances in Dynamic Threshold-Aided Energy Detection for Cognitive Radio Networks
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400217openalex-snapshot
Enhancing AES Security Through Simulated Power Trace Analysis and DPA Resistance
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400261openalex-snapshot
Wolverine Optimization Algorithm: a New Naturederived Algorithm for Network Intrusion Detection Systems
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400313openalex-snapshot
Comparative Evaluation of Extractive Summarization Algorithms on Multi-Topic News Articles in Portuguese
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400406openalex-snapshot
Application of Machine Learning on Diabetic Prediction for Pregnant Women
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400426openalex-snapshot
Enhancing LEACH Protocol Efficiency in Wireless Sensor Networks Using Hybrid Special Forces Algorithm and Spider Wasp Optimization Technique
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400457openalex-snapshot
Stacking Ensemble Learning for Reliable Brain Tumor Diagnosis Using MRI and Deep Transfer Models
inferred← citeshttps://doi.org/10.1109/ocit66168.2025.11400479openalex-snapshot
A Contemporary Survey on ML-Based Data Gathering with Mobile Sink in WSNs
inferred← citeshttps://doi.org/10.1109/tce.2025.3605098openalex-snapshot
DDoS Attack Detection in Consumer IoT-Based Healthcare Systems Using Improved Off-Policy Proximal Policy Optimization and Generative Adversarial Network
inferred← citeshttps://doi.org/10.1109/tmc.2026.3652569openalex-snapshot
Edge DDoS Attack Mitigation Under Uncertainty: A Deep Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.52113/2/12.01.2025/117-131openalex-snapshot
Optimized DDoS Detection in Smart Homes Using EPSO and Recurrent Transformer Networks
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