A trusted feature aggregator federated learning for distributed malicious attack detection

Enhancing collaborative intrusion detection via disagreement-based semi-supervised learning in IoT environments

(2020) Wenjuan Li et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

FDC: A Secure Federated Deep Learning Mechanism for Data Collaborations in the Internet of Things

(2020) Bo Yin et al.   IEEE Internet of Things Journal

Blockchain and federated learning-based distributed computing defence framework for sustainable society

(2020) Pradip Kumar Sharma et al.   Sustainable Cities and Society

A Blockchain-Based Secure Key Management Scheme With Trustworthiness in DWSNs

(2020) Youliang Tian et al.   IEEE Transactions on Industrial Informatics

Scalable machine learning-based intrusion detection system for IoT-enabled smart cities

(2020) Md Arafatur Rahman et al.   Sustainable Cities and Society

An energy saving based on task migration for mobile edge computing

(2019) Yichuan Wang et al.   EURASIP Journal on Wireless Communications and Networking

Differentially Private Asynchronous Federated Learning for Mobile Edge Computing in Urban Informatics

(2019) Yunlong Lu et al.   IEEE Transactions on Industrial Informatics

Firefly algorithm based feature selection for network intrusion detection

(2018) Selvakumar B et al.   COMPUTERS & SECURITY

Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing

(2017) Ju Ren et al.   IEEE NETWORK

A survey of intrusion detection in Internet of Things

(2017) Bruno Bogaz Zarpelão et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Adaptive and Channel-Aware Detection of Selective Forwarding Attacks in Wireless Sensor Networks

(2016) Ju Ren et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS