Exclusive use spectrum access trading models in cognitive radio networks: A survey

MR Hassan, GC Karmakar… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Spectrum frequency is a valuable resource for wireless communication but very limited in its
availability. Due to the extensive use and ever increasing demand of spectrum bands by …

A secure mobile crowdsensing game with deep reinforcement learning

L Xiao, Y Li, G Han, H Dai… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is vulnerable to faked sensing attacks, as selfish smartphone
users sometimes provide faked sensing results to the MCS server to save their sensing costs …

IoT network security from the perspective of adversarial deep learning

YE Sagduyu, Y Shi, T Erpek - 2019 16th Annual IEEE …, 2019 - ieeexplore.ieee.org
Machine learning finds rich applications in Internet of Things (IoT) networks such as
information retrieval, traffic management, spectrum sensing, and signal authentication. While …

[图书][B] Reinforcement learning for cyber-physical systems: with cybersecurity case studies

C Li, M Qiu - 2019 - taylorfrancis.com
Reinforcement Learning for Cyber-Physical Systems: with Cybersecurity Case Studies was
inspired by recent developments in the fields of reinforcement learning (RL) and cyber …

Towards data poisoning attacks in crowd sensing systems

C Miao, Q Li, H Xiao, W Jiang, M Huai… - Proceedings of the …, 2018 - dl.acm.org
With the proliferation of sensor-rich mobile devices, crowd sensing has emerged as a new
paradigm of collecting information from the physical world. However, the sensory data …

Design of contract-based trading mechanism for a small-cell caching system

T Liu, J Li, F Shu, M Tao, W Chen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Recently, content-aware-enabled distributed caching relying on local small-cell base
stations (SBSs), namely, smallcell caching, has been intensively studied for reducing …

A spatiotemporal approach for secure crowdsourced radio environment map construction

Y Hu, R Zhang - IEEE/ACM Transactions on Networking, 2020 - ieeexplore.ieee.org
Database-driven Dynamic Spectrum Sharing (DSS) is the de-facto technical paradigm
adopted by Federal Communications Commission for increasing spectrum efficiency, which …

[HTML][HTML] Remote monitoring system using slow-fast deep convolution neural network model for identifying anti-social activities in surveillance applications

EM Onyema, S Balasubaramanian, C Iwendi… - Measurement …, 2023 - Elsevier
Remote monitoring is the process that monitors and observes information from a distance
utilizing sensors or electronic types of equipment. Remote monitoring is used in real-time …

Reputation-based opportunistic routing protocol using q-learning for manet attacked by malicious nodes

J Ryu, S Kim - IEEE Access, 2023 - ieeexplore.ieee.org
Irrespective of whether the environment is wired or wireless, routing is an important
challenge in networks. Since mobile ad hoc networks (MANETs) are flexible and …

Pay as how you behave: A truthful incentive mechanism for mobile crowdsensing

C Xu, Y Si, L Zhu, C Zhang, K Sharif… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is widely applied in large-scale distributed networks for
collecting sensing data from workers. In an MCS system, workers are recruited to complete …