Machine learning applications in internet-of-drones: Systematic review, recent deployments, and open issues
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …
A Survey on Network Slicing Security: Attacks, Challenges, Solutions and Research Directions
The dawn of softwarized networks enables Network Slicing (NS) as an important technology
towards allocating end-to-end logical networks to facilitate diverse requirements of emerging …
towards allocating end-to-end logical networks to facilitate diverse requirements of emerging …
Federated deep learning for anomaly detection in the internet of things
X Wang, Y Wang, Z Javaheri, L Almutairi… - Computers and …, 2023 - Elsevier
Privacy has emerged as a top worry as a result of the development of zero-day hacks
because IoT devices produce and transmit sensitive information through the regular internet …
because IoT devices produce and transmit sensitive information through the regular internet …
[HTML][HTML] Recent advances, future trends, applications and challenges of internet of underwater things (iout): A comprehensive review
Oceans cover more than 70% of the Earth's surface. For various reasons, almost 95% of
these areas remain unexplored. Underwater wireless communication (UWC) has …
these areas remain unexplored. Underwater wireless communication (UWC) has …
Denial of service attacks in edge computing layers: Taxonomy, vulnerabilities, threats and solutions
Edge computing has emerged as the dominant communication technology connecting IoT
and cloud, offering reduced latency and harnessing the potential of edge devices. However …
and cloud, offering reduced latency and harnessing the potential of edge devices. However …
[HTML][HTML] A fuzzy-based method for objects selection in blockchain-enabled edge-IoT platforms using a hybrid multi-criteria decision-making model
The broad availability of connected and intelligent devices has increased the demand for
Internet of Things (IoT) applications that require more intense data storage and processing …
Internet of Things (IoT) applications that require more intense data storage and processing …
An efficient and privacy-preserving blockchain-based secure data aggregation in smart grids
Abstract Smart Grids (SGs) present a number of advantages over traditional grid like reduce
energy cost, reduce energy wastage, and increase reliability and transparency. However, it …
energy cost, reduce energy wastage, and increase reliability and transparency. However, it …
[HTML][HTML] A quality-of-service-aware service composition method in the internet of things using a multi-objective fuzzy-based hybrid algorithm
M Hamzei, S Khandagh, N Jafari Navimipour - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) represents a cutting-edge technical domain, encompassing
billions of intelligent objects capable of bridging the physical and virtual worlds across …
billions of intelligent objects capable of bridging the physical and virtual worlds across …
[HTML][HTML] A novel blockchain-based deepfake detection method using federated and deep learning models
In recent years, the proliferation of deep learning (DL) techniques has given rise to a
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …
significant challenge in the form of deepfake videos, posing a grave threat to the authenticity …
Intrusion detection in Internet of things using improved binary golden jackal optimization algorithm and LSTM
AV Hanafi, A Ghaffari, H Rezaei, A Valipour… - Cluster Computing, 2024 - Springer
Internet of things (IoT) technology has gained a reputation in recent years due to its ease of
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …
use and adaptability. Due to the amount of sensitive and significant data exchanged over the …