[HTML][HTML] Integration of blockchain technology and federated learning in vehicular (iot) networks: A comprehensive survey
The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
to be utilized in vehicular networks. The Smart Transport Infrastructure (STI) era depends …
Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …
attention in recent years, aiming to provide interpretability and confidence to the inner …
PPSF: A privacy-preserving and secure framework using blockchain-based machine-learning for IoT-driven smart cities
With the evolution of the Internet of Things (IoT), smart cities have become the mainstream of
urbanization. IoT networks allow distributed smart devices to collect and process data within …
urbanization. IoT networks allow distributed smart devices to collect and process data within …
[HTML][HTML] A blockchain-orchestrated deep learning approach for secure data transmission in IoT-enabled healthcare system
The integration of the Internet of Things (IoT) with traditional healthcare systems has
improved quality of healthcare services. However, the wearable devices and sensors used …
improved quality of healthcare services. However, the wearable devices and sensors used …
A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network
Abstract The Internet of Things (IoT) is emerging as a new technology for the development of
various critical applications. However, these applications are still working on centralized …
various critical applications. However, these applications are still working on centralized …
Internet of Things intrusion detection systems: a comprehensive review and future directions
A Heidari, MA Jabraeil Jamali - Cluster Computing, 2023 - Springer
Abstract The Internet of Things (IoT) is a paradigm that connects objects to the Internet as a
whole and enables them to work together to achieve common objectives, such as innovative …
whole and enables them to work together to achieve common objectives, such as innovative …
Machine learning-enabled iot security: Open issues and challenges under advanced persistent threats
Despite its technological benefits, the Internet of Things (IoT) has cyber weaknesses due to
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
vulnerabilities in the wireless medium. Machine Larning (ML)-based methods are widely …
A privacy-preserving-based secure framework using blockchain-enabled deep-learning in cooperative intelligent transport system
Cooperative Intelligent Transport System (C-ITS) is a promising technology that aims to
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
improve the traditional transport management systems. In C-ITS infrastructure Autonomous …
[HTML][HTML] Malware analysis and detection using machine learning algorithms
MS Akhtar, T Feng - Symmetry, 2022 - mdpi.com
One of the most significant issues facing internet users nowadays is malware. Polymorphic
malware is a new type of malicious software that is more adaptable than previous …
malware is a new type of malicious software that is more adaptable than previous …
Federated semisupervised learning for attack detection in industrial Internet of Things
Security has become a critical issue for Industry4. 0 due to different emerging cyber-security
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …
threats. Recently, many deep learning (DL) approaches have focused on intrusion detection …