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A comprehensive survey: Evaluating the efficiency of artificial intelligence and machine learning techniques on cyber security solutions
Given the continually rising frequency of cyberattacks, the adoption of artificial intelligence
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
methods, particularly Machine Learning (ML), Deep Learning (DL), and Reinforcement …
Software-defined UAV networks for 6G systems: Requirements, opportunities, emerging techniques, challenges, and research directions
The ever-increasing demand for wireless communication has driven the development of
innovative technologies to address the issues that conventional communication networks …
innovative technologies to address the issues that conventional communication networks …
Security framework for internet-of-things-based software-defined networks using blockchain
Presently, trillions of Internet of Things (IoT) devices are in use, with many more projected to
join IoT networks in the future. These IoT devices create a massive volume of data, which …
join IoT networks in the future. These IoT devices create a massive volume of data, which …
A robust deep learning framework based on spectrograms for heart sound classification
Heart sound analysis plays an important role in early detecting heart disease. However,
manual detection requires doctors with extensive clinical experience, which increases …
manual detection requires doctors with extensive clinical experience, which increases …
Lightweight blockchain-enhanced mutual authentication protocol for UAVs
With the rapid increase of data from unmanned aerial vehicles (UAVs), the security and
privacy of data presents a severe challenge for UAV-based applications. Moreover, UAVs …
privacy of data presents a severe challenge for UAV-based applications. Moreover, UAVs …
A deep neural collaborative filtering based service recommendation method with multi-source data for smart cloud-edge collaboration applications
W Lin, M Zhu, X Zhou, R Zhang, X Zhao… - Tsinghua Science …, 2023 - ieeexplore.ieee.org
Service recommendation provides an effective solution to extract valuable information from
the huge and ever-increasing volume of big data generated by the large cardinality of user …
the huge and ever-increasing volume of big data generated by the large cardinality of user …
Hedera: A permissionless and scalable hybrid blockchain consensus algorithm in multiaccess edge computing for IoT
Y Tang, J Yan, C Chakraborty… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) network, as one of the key infrastructures of IoT,
provides cloud computing capabilities at the edge of the radio access network (RAN) by …
provides cloud computing capabilities at the edge of the radio access network (RAN) by …
A distributed game theoretical approach for credibility-guaranteed multimedia data offloading in MEC
Due to the limited resources of Internet of Things (IoT) devices, the multimedia application
data generated by IoT devices can be offloaded to edge servers for processing. In this …
data generated by IoT devices can be offloaded to edge servers for processing. In this …
Searchable and secure edge pre-cache scheme for intelligent 6G wireless systems
Driven by artificial intelligence and network communication technology, intelligent 6G
wireless systems have gradually become an important environment for users to enjoy data …
wireless systems have gradually become an important environment for users to enjoy data …
Energy consumption optimization of UAV-assisted traffic monitoring scheme with tiny reinforcement learning
X Kong, C Ni, G Duan, G Shen… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with high-definition cameras have the
capability to capture comprehensive and multiangled images of road conditions, facilitating …
capability to capture comprehensive and multiangled images of road conditions, facilitating …