Incentive mechanisms for federated learning: From economic and game theoretic perspective
Federated learning (FL) becomes popular and has shown great potentials in training large-
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
scale machine learning (ML) models without exposing the owners' raw data. In FL, the data …
From intrusion detection to attacker attribution: A comprehensive survey of unsupervised methods
Over the last five years there has been an increase in the frequency and diversity of network
attacks. This holds true, as more and more organizations admit compromises on a daily …
attacks. This holds true, as more and more organizations admit compromises on a daily …
Defense mechanisms against DDoS attacks in a cloud computing environment: State-of-the-art and research challenges
N Agrawal, S Tapaswi - IEEE Communications Surveys & …, 2019 - ieeexplore.ieee.org
The salient features of cloud computing (such as on-demand self-service, resource pooling,
broad network access, rapid elasticity, and measured service) are being exploited by …
broad network access, rapid elasticity, and measured service) are being exploited by …
Wireless network slicing: Generalized kelly mechanism-based resource allocation
Wireless network slicing (ie, network virtualization) is one of the potential technologies for
addressing the issue of rapidly growing demand in mobile data services related to 5G …
addressing the issue of rapidly growing demand in mobile data services related to 5G …
Applications of economic and pricing models for resource management in 5G wireless networks: A survey
This paper presents a comprehensive literature review on applications of economic and
pricing theory for resource management in the evolving fifth generation (5G) wireless …
pricing theory for resource management in the evolving fifth generation (5G) wireless …
Survey of public safety communications: User-side and network-side solutions and future directions
To prevent economic losses, maintain social order, and protect the well-being of the
populace during public safety and crisis recovery scenarios, such as man-made and natural …
populace during public safety and crisis recovery scenarios, such as man-made and natural …
Trusted UAV network coverage using blockchain, machine learning, and auction mechanisms
The UAV is emerging as one of the greatest technology developments for rapid network
coverage provisioning at affordable cost. The aim of this paper is to outsource network …
coverage provisioning at affordable cost. The aim of this paper is to outsource network …
An intelligence-driven security-aware defense mechanism for advanced persistent threats
Combined with many different attack forms, advanced persistent threats (APTs) are
becoming a major threat to cyber security. Existing security protection works typically either …
becoming a major threat to cyber security. Existing security protection works typically either …
Network utility maximization based on an incentive mechanism for truthful reporting of local information
Classic network utility maximization (NUM) problems are usually solved assuming all
information is available, implying that information not locally available is always truthfully …
information is available, implying that information not locally available is always truthfully …
SE-Loc: security-enhanced indoor localization with semi-supervised deep learning
Q Ye, X Fan, H Bie, D Puthal, T Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Wireless indoor localization has become unavoidable for industrial indoor location-based
services. Given the ubiquitous deployment of wireless access points (APs), Wi-Fi …
services. Given the ubiquitous deployment of wireless access points (APs), Wi-Fi …