At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
[HTML][HTML] Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges
Abstract The application of Machine Learning (ML) techniques to the well-known intrusion
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks …
FELIDS: Federated learning-based intrusion detection system for agricultural Internet of Things
In this paper, we propose a federated learning-based intrusion detection system, named
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …
FELIDS, for securing agricultural-IoT infrastructures. Specifically, the FELIDS system protects …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
Denial of service attack detection and mitigation for internet of things using looking-back-enabled machine learning techniques
Abstract IoT (Internet of Things) systems are still facing a great number of attacks due to their
integration in several areas of life. The most-reported attacks against IoT systems are" …
integration in several areas of life. The most-reported attacks against IoT systems are" …
Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: A survey
S Ali, Q Li, A Yousafzai - Ad Hoc Networks, 2024 - Elsevier
The industrial internet of things (IIoT) is an evolutionary extension of the traditional Internet of
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
Things (IoT) into processes and machines for applications in the industrial sector. The IIoT …
An energy-efficient data aggregation mechanism for IoT secured by blockchain
The Internet of Things (IoT) is getting important and interconnected technologies of the
world, consisting of sensor devices. The internet is smoothly changing from an internet of …
world, consisting of sensor devices. The internet is smoothly changing from an internet of …
Fog-cloud based intrusion detection system using Recurrent Neural Networks and feature selection for IoT networks
Deep learning (DL) techniques are being widely researched for their effectiveness in
detecting cyber intrusions against the Internet of Things (IoT). Time sensitive Critical …
detecting cyber intrusions against the Internet of Things (IoT). Time sensitive Critical …
smote-drnn: A deep learning algorithm for botnet detection in the internet-of-things networks
Nowadays, hackers take illegal advantage of distributed resources in a network of
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
computing devices (ie, botnet) to launch cyberattacks against the Internet of Things (IoT) …
Fidchain: Federated intrusion detection system for blockchain-enabled iot healthcare applications
Recently, there has been considerable growth in the internet of things (IoT)-based
healthcare applications; however, they suffer from a lack of intrusion detection systems …
healthcare applications; however, they suffer from a lack of intrusion detection systems …