Interpreting black-box models: a review on explainable artificial intelligence
Recent years have seen a tremendous growth in Artificial Intelligence (AI)-based
methodological development in a broad range of domains. In this rapidly evolving field …
methodological development in a broad range of domains. In this rapidly evolving field …
Blockchain-based federated learning for securing internet of things: A comprehensive survey
The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering
significant advantages in agility, responsiveness, and potential environmental benefits. The …
significant advantages in agility, responsiveness, and potential environmental benefits. The …
Security and privacy on 6g network edge: A survey
To meet the stringent service requirements of 6G applications such as immersive cloud
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
eXtended Reality (XR), holographic communication, and digital twin, there is no doubt that …
[HTML][HTML] A review of green artificial intelligence: Towards a more sustainable future
Green artificial intelligence (AI) is more environmentally friendly and inclusive than
conventional AI, as it not only produces accurate results without increasing the …
conventional AI, as it not only produces accurate results without increasing the …
Role of machine learning and deep learning in securing 5G-driven industrial IoT applications
Abstract The Internet of Things (IoT) connects millions of computing devices and has set a
stage for future technology where industrial use cases like smart cities and smart houses will …
stage for future technology where industrial use cases like smart cities and smart houses will …
Balancing QoS and security in the edge: Existing practices, challenges, and 6G opportunities with machine learning
While the emerging 6G networks are anticipated to meet the high-end service quality
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
demands of the mobile edge users in terms of data rate and delay satisfaction, new attack …
Misbehavior detection for position falsification attacks in VANETs using machine learning
Cooperative Intelligent Transport Systems (C-ITS) is an advanced technology for road safety
and traffic efficiency over Vehicular Ad Hoc Networks (VANETs) allowing vehicles to …
and traffic efficiency over Vehicular Ad Hoc Networks (VANETs) allowing vehicles to …
UAV-assisted IoT applications, cybersecurity threats, AI-enabled solutions, open challenges with future research directions
Unnamed Ariel Vehicle-assisted-Internet of Things (UAV-assisted IoT) applications have
emerged as a powerful integrated technology, showcasing remarkable results in many …
emerged as a powerful integrated technology, showcasing remarkable results in many …
Deep Q-network-based heuristic intrusion detection against edge-based SIoT zero-day attacks
S Shen, C Cai, Z Li, Y Shen, G Wu, S Yu - Applied Soft Computing, 2024 - Elsevier
How to process and classify zero-day attacks due to their huge damage to social Internet of
Things (SIoT) systems has become a hot research issue. To solve this issue, we propose a …
Things (SIoT) systems has become a hot research issue. To solve this issue, we propose a …
[HTML][HTML] DIDS: A Deep Neural Network based real-time Intrusion detection system for IoT
M Vishwakarma, N Kesswani - Decision Analytics Journal, 2022 - Elsevier
The number of people using the Internet of Things (IoT) devices has exploded in recent
years. The instantaneous development in deploying constrained devices in numerous areas …
years. The instantaneous development in deploying constrained devices in numerous areas …