A comprehensive survey on robust image watermarking

W Wan, J Wang, Y Zhang, J Li, H Yu, J Sun - Neurocomputing, 2022 - Elsevier
With the rapid development and popularity of the Internet, multimedia security has become a
general essential concern. Especially, as manipulation of digital images gets much easier …

Applications of deep reinforcement learning in communications and networking: A survey

NC Luong, DT Hoang, S Gong, D Niyato… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
This paper presents a comprehensive literature review on applications of deep
reinforcement learning (DRL) in communications and networking. Modern networks, eg …

Deep reinforcement learning for Internet of Things: A comprehensive survey

W Chen, X Qiu, T Cai, HN Dai… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The incumbent Internet of Things suffers from poor scalability and elasticity exhibiting in
communication, computing, caching and control (4Cs) problems. The recent advances in …

A tutorial on UAVs for wireless networks: Applications, challenges, and open problems

M Mozaffari, W Saad, M Bennis… - … surveys & tutorials, 2019 - ieeexplore.ieee.org
The use of flying platforms such as unmanned aerial vehicles (UAVs), popularly known as
drones, is rapidly growing. In particular, with their inherent attributes such as mobility …

Smart grid cyber-physical attack and defense: A review

H Zhang, B Liu, H Wu - IEEE Access, 2021 - ieeexplore.ieee.org
Recent advances in the cyber-physical smart grid (CPSG) have enabled a broad range of
new devices based on the information and communication technology (ICT). However, these …

A survey on low latency towards 5G: RAN, core network and caching solutions

I Parvez, A Rahmati, I Guvenc… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
The fifth generation (5G) wireless network technology is to be standardized by 2020, where
main goals are to improve capacity, reliability, and energy efficiency, while reducing latency …

Machine-learning-assisted security and privacy provisioning for edge computing: A survey

S Singh, R Sulthana, T Shewale… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Edge computing (EC), is a technological game changer that has the ability to connect
millions of sensors and provide services at the device end. The broad vision of EC integrates …

A survey of security challenges, attacks taxonomy and advanced countermeasures in the internet of things

S Khanam, IB Ahmedy, MYI Idris, MH Jaward… - IEEE …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) facilitates the integration between objects and different sensors to
provide communication among them without human intervention. However, the extensive …

Proactive resource management for LTE in unlicensed spectrum: A deep learning perspective

U Challita, L Dong, W Saad - IEEE transactions on wireless …, 2018 - ieeexplore.ieee.org
Performing cellular long term evolution (LTE) communications in unlicensed spectrum using
licensed assisted access LTE (LTE-LAA) is a promising approach to overcome wireless …

Deep learning for reliable mobile edge analytics in intelligent transportation systems: An overview

A Ferdowsi, U Challita, W Saad - ieee vehicular technology …, 2019 - ieeexplore.ieee.org
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart
cities. However, realizing the true potential of ITSs requires ultralow latency and reliable …