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Using machine learning for security issues in cognitive IoT

https://doi.org/10.1049/icp.2024.0980

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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/ett.3635openalex-snapshot

Machine learning for wearable IoT‐based applications: A survey

inferredcites →https://doi.org/10.1002/ett.4150openalex-snapshot

Network intrusion detection system: A systematic study of machine learning and deep learning approaches

inferredcites →https://doi.org/10.1007/978-3-030-90119-6_12openalex-snapshot

Machine Learning Approaches for Smart City Applications: Emergence, Challenges and Opportunities

inferredcites →https://doi.org/10.1016/j.adhoc.2019.02.001openalex-snapshot

An intrusion detection system for connected vehicles in smart cities

inferredcites →https://doi.org/10.1016/j.adhoc.2021.102574openalex-snapshot

Federated learning for drone authentication

inferredcites →https://doi.org/10.1016/j.comnet.2019.01.023openalex-snapshot

Internet of Things: A survey on machine learning-based intrusion detection approaches

inferredcites →https://doi.org/10.1016/j.comnet.2020.107247openalex-snapshot

Building an efficient intrusion detection system based on feature selection and ensemble classifier

inferredcites →https://doi.org/10.1016/j.comnet.2021.108693openalex-snapshot

Federated learning for malware detection in IoT devices

inferredcites →https://doi.org/10.1016/j.cose.2020.101851openalex-snapshot

Building Auto-Encoder Intrusion Detection System based on random forest feature selection

inferredcites →https://doi.org/10.1016/j.dcan.2021.04.001openalex-snapshot

Towards asynchronous federated learning for heterogeneous edge-powered internet of things

inferredcites →https://doi.org/10.1016/j.jnca.2012.09.004openalex-snapshot

Intrusion detection system: A comprehensive review

inferredcites →https://doi.org/10.1016/j.procs.2020.04.133openalex-snapshot

Performance Analysis of Machine Learning Algorithms in Intrusion Detection System: A Review

inferredcites →https://doi.org/10.1080/0952813x.2020.1818291openalex-snapshot

A comprehensive survey on machine learning approaches for dynamic spectrum access in cognitive radio networks

inferredcites →https://doi.org/10.1109/access.2020.3023940openalex-snapshot

Resource Optimized Federated Learning-Enabled Cognitive Internet of Things for Smart Industries

inferredcites →https://doi.org/10.1109/comst.2021.3090430openalex-snapshot

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

inferredcites →https://doi.org/10.1109/jiot.2019.2926365openalex-snapshot

A Supervised Intrusion Detection System for Smart Home IoT Devices

inferredcites →https://doi.org/10.1109/jiot.2020.3007662openalex-snapshot

Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT

inferredcites →https://doi.org/10.1109/jiot.2021.3077803openalex-snapshot

Federated-Learning-Based Anomaly Detection for IoT Security Attacks

inferredcites →https://doi.org/10.1109/jiot.2021.3089334openalex-snapshot

BrainIoT: Brain-Like Productive Services Provisioning With Federated Learning in Industrial IoT

inferredcites →https://doi.org/10.1109/jiot.2022.3150363openalex-snapshot

Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things

inferredcites →https://doi.org/10.1109/mnet.011.2000286openalex-snapshot

Internet of Things Intrusion Detection: Centralized, On-Device, or Federated Learning?

inferredcites →https://doi.org/10.1109/tii.2019.2942190openalex-snapshot

Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

inferredcites →https://doi.org/10.1109/tii.2021.3107783openalex-snapshot

Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures

inferredcites →https://doi.org/10.1109/tr.2022.3179491openalex-snapshot

Attacking Spectrum Sensing With Adversarial Deep Learning in Cognitive Radio-Enabled Internet of Things

inferredcites →https://doi.org/10.1155/2022/1862888openalex-snapshot

Machine Learning Techniques for Spam Detection in Email and IoT Platforms: Analysis and Research Challenges

inferredcites →https://doi.org/10.1155/2022/5730196openalex-snapshot

HeteroFL Blockchain Approach‐Based Security for Cognitive Internet of Things

inferredcites →https://doi.org/10.23919/jcc.2020.09.009openalex-snapshot

Federated learning for 6G communications: Challenges, methods, and future directions

inferredcites →https://doi.org/10.3390/app12157882openalex-snapshot

The Role of Machine Learning and the Internet of Things in Smart Buildings for Energy Efficiency

inferredcites →https://doi.org/10.3390/electronics11040556openalex-snapshot

Machine-Learning-Based Darknet Traffic Detection System for IoT Applications

inferredcites →https://doi.org/10.3390/electronics11172676openalex-snapshot

Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective

inferredcites →https://doi.org/10.3390/fi14090246openalex-snapshot

Federated Learning and Its Role in the Privacy Preservation of IoT Devices

inferredcites →https://doi.org/10.3390/s20216230openalex-snapshot

Federated Learning in Smart City Sensing: Challenges and Opportunities

inferredcites →https://doi.org/10.3390/s21010167openalex-snapshot

Open-Source Federated Learning Frameworks for IoT: A Comparative Review and Analysis

inferredcites →https://doi.org/10.3390/s22124394openalex-snapshot

Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey

inferredcites →https://doi.org/10.3390/s22186765openalex-snapshot

Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning

inferredcites →https://doi.org/10.3390/su14137701openalex-snapshot

AI Enabled Accident Detection and Alert System Using IoT and Deep Learning for Smart Cities

inferredcites →https://doi.org/10.4018/978-1-6684-6291-1.ch035openalex-snapshot

Advanced-Level Security in Network and Real-Time Applications Using Machine Learning Approaches

inferredcites →https://doi.org/10.4018/ijrqeh.289176openalex-snapshot

Security-Aware Routing on Wireless Communication for E-Health Records Monitoring Using Machine Learning

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.5370145openalex-extracted

An Intelligent Iot-Based System for Real-Time Anomaly Detection and Protection of Electrical Devices Using Machine Learning

inferred← citeshttps://doi.org/10.1016/j.ijcce.2025.01.009openalex-snapshot

AI-based model for securing cognitive IoT devices in advance communication systems

inferred← citeshttps://doi.org/10.1109/3ict68299.2025.11442150openalex-snapshot

Comparative Analysis and Implementation of ML Models for Securing IoT Networks Against Cyber Threats

inferred← citeshttps://doi.org/10.1109/jiot.2025.3644428openalex-snapshot

Trustworthy and Secure Cognitive Radio Sensor Networks for IoT-Enabled Healthcare: An Intent-Based Approach

inferred← citeshttps://doi.org/10.18280/mmep.110829openalex-snapshot

Enhanced Support Vector Machine-Based Intelligent Classification of Trusted Nodes in WBAN for Resilient Infrastructure

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