Dependable federated learning for IoT intrusion detection against poisoning attacks

Two-phase Defense Against Poisoning Attacks on Federated Learning-based Intrusion Detection

(2023) Yuan-Cheng Lai et al.   COMPUTERS & SECURITY

Label noise analysis meets adversarial training: A defense against label poisoning in federated learning

(2023) Ehsan Hallaji et al.   KNOWLEDGE-BASED SYSTEMS

Federated learning for malware detection in IoT devices

(2022) Valerian Rey et al.   Computer Networks

Federated Transfer Learning With Client Selection for Intrusion Detection in Mobile Edge Computing

(2022) Yanyu Cheng et al.   IEEE COMMUNICATIONS LETTERS

Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model

(2022) Olutosin Taiwo et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

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

(2022) Bimal Ghimire et al.   IEEE Internet of Things Journal

FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things

(2022) Othmane Friha et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

The Rise of “Internet of Things”: Review and Open Research Issues Related to Detection and Prevention of IoT-Based Security Attacks

(2022) Muhammad Shafiq et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Making federated learning robust to adversarial attacks by learning data and model association

(2022) Adnan Qayyum et al.   COMPUTERS & SECURITY

SecFedNIDS: Robust defense for poisoning attack against federated learning-based network intrusion detection system

(2022) Zhao Zhang et al.   Future Generation Computer Systems-The International Journal of eScience

Extreme minority class detection in imbalanced data for network intrusion

(2022) Marija S. Milosevic et al.   COMPUTERS & SECURITY

FL-Defender: Combating targeted attacks in federated learning

(2022) Najeeb Moharram Jebreel et al.   KNOWLEDGE-BASED SYSTEMS

Blockchain and Federated Learning for Collaborative Intrusion Detection in Vehicular Edge Computing

(2021) Hong Liu et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Toward Detection and Attribution of Cyber-Attacks in IoT-Enabled Cyber–Physical Systems

(2021) Amir Namavar Jahromi et al.   IEEE Internet of Things Journal

Deep Learning in IoT Intrusion Detection

(2021) Stefanos Tsimenidis et al.   Journal of Network and Systems Management

Federated-Learning-Based Anomaly Detection for IoT Security Attacks

(2021) Viraaji Mothukuri et al.   IEEE Internet of Things Journal

FLEAM: A Federated Learning Empowered Architecture to Mitigate DDoS in Industrial IoT

(2021) Jianhua Li et al.   IEEE Transactions on Industrial Informatics

Federated Threat-Hunting Approach for Microservice-Based Industrial Cyber-Physical System

(2021) Mohamed Abdel-Basset et al.   IEEE Transactions on Industrial Informatics

Towards Communication-Efficient and Attack-Resistant Federated Edge Learning for Industrial Internet of Things

(2021) Yi Liu et al.   ACM Transactions on Internet Technology

Reliable Federated Learning for Mobile Networks

(2020) Jiawen Kang et al.   IEEE WIRELESS COMMUNICATIONS

Selection of effective machine learning algorithm and Bot-IoT attacks traffic identification for internet of things in smart city

(2020) Muhammad Shafiq et al.   Future Generation Computer Systems-The International Journal of eScience

CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

(2020) Muhammad Shafiq et al.   IEEE Internet of Things Journal

PoisonGAN: Generative Poisoning Attacks Against Federated Learning in Edge Computing Systems

(2020) Jiale Zhang et al.   IEEE Internet of Things Journal

DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber–Physical Systems

(2020) Beibei Li et al.   IEEE Transactions on Industrial Informatics

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

(2019) Kelton A.P. da Costa et al.   Computer Networks

Intelligent approach to build a Deep Neural Network based IDS for cloud environment using combination of machine learning algorithms

(2019) Zouhair Chiba et al.   COMPUTERS & SECURITY