… applications, and the Internet of Things (IoT), significantly impact our lives… To effectively tackle
these challenges and enhance the … Current detection studies are mainly machine learning-…

… application scenarios, several key issues to be addressed and the future trends. Our work is
… secure federated deep learning mechanism for data collaborations in the Internet of Things. …

… efficient communication between UAVs is a big challenge currently facing. In order to cost …
based on deep reinforcement learning. First,this paper designs three UAV cluster solutions to …

… problems of strong fluctuation and poor disturbance resistance of green power generation,
a machine learning … authentication scheme based on elliptic curve cryptography for IoT and …

… in life, it also brings many security problems. Therefore, a complete and robust … security of
the Internet of things. With the continuous development of machine learning and deep learning, …

… issues before they become major issues, or emergencies. IoT offers a more reliable and
complete solution … The main challenges in security remain the security limitations associated …

… Machine learning for resource management in cellular and IoT networks: Potentials, current
solutions, and open challenges[J]. IEEE Communications Surveys & Tutorials, 2020, 22(2): …

… most relevant group authentication solutions in the literature are … The number of IoT devices
and UAVs will arise in the future … Another challenge for IoT networks is the need for secure …