Fast, reliable, and secure drone communication: A comprehensive survey
Drone security is currently a major topic of discussion among researchers and industrialists.
Although there are multiple applications of drones, if the security challenges are not …
Although there are multiple applications of drones, if the security challenges are not …
A systematic review on machine learning and deep learning models for electronic information security in mobile networks
Today's advancements in wireless communication technologies have resulted in a
tremendous volume of data being generated. Most of our information is part of a widespread …
tremendous volume of data being generated. Most of our information is part of a widespread …
Securing IoT systems in a post-quantum environment: Vulnerabilities, attacks, and possible solutions
Abstract The Internet of Things (IoT) refers to the distributed systems environment
connecting billions of devices to the Internet, and quantum computing is an emerging …
connecting billions of devices to the Internet, and quantum computing is an emerging …
Disaster resilience of optical networks: State of the art, challenges, and opportunities
For several decades, optical networks, due to their high capacity and long-distance
transmission range, have been used as the major communication technology to serve …
transmission range, have been used as the major communication technology to serve …
Optical network security management: requirements, architecture, and efficient machine learning models for detection of evolving threats
As the communication infrastructure that sustains critical societal services, optical networks
need to function in a secure and agile way. Thus, cognitive and automated security …
need to function in a secure and agile way. Thus, cognitive and automated security …
Machine learning for optical network security monitoring: A practical perspective
In order to accomplish cost-efficient management of complex optical communication
networks, operators are seeking automation of network diagnosis and management by …
networks, operators are seeking automation of network diagnosis and management by …
Jamming detection at the edge of drone networks using multi-layer perceptrons and decision trees
As wireless networks play an increasingly key role in everyday life, it is necessary to secure
them from radio frequency attacks, such as jamming, which are hard to detect, especially …
them from radio frequency attacks, such as jamming, which are hard to detect, especially …
Artificial intelligence-driven autonomous optical networks: 3S architecture and key technologies
In the optical networks, the dynamicity, the complexity and the heterogeneity have
dramatically increased owing to the deployment of advanced coherent techniques, and the …
dramatically increased owing to the deployment of advanced coherent techniques, and the …
Learning quantile QoT models to address uncertainty over unseen lightpaths
Uncertainty in quality-of-transmission (QoT) estimation is traditionally addressed through
empirical, myopic margins, ignoring the fact that each unseen lightpath is subject to different …
empirical, myopic margins, ignoring the fact that each unseen lightpath is subject to different …
Leveraging graph and deep learning uncertainties to detect anomalous maritime trajectories
Understanding and representing traffic patterns are key to detecting anomalous trajectories
in the transportation domain. However, some trajectories can exhibit heterogeneous …
in the transportation domain. However, some trajectories can exhibit heterogeneous …