An exhaustive survey on security and privacy issues in Healthcare 4.0

JJ Hathaliya, S Tanwar - Computer Communications, 2020‏ - Elsevier
The healthcare industry has revolutionized from 1.0 to 4.0 where Healthcare 1.0 was more
doctor centric and Healthcare 2.0 replaced manual records with electronic healthcare …

A systematic review on NOMA variants for 5G and beyond

I Budhiraja, N Kumar, S Tyagi, S Tanwar, Z Han… - IEEE …, 2021‏ - ieeexplore.ieee.org
Over the last few years, interference has been a major hurdle for successfully implementing
various end-user applications in the fifth-generation (5G) of wireless networks. During this …

The duo of artificial intelligence and big data for industry 4.0: Applications, techniques, challenges, and future research directions

SK Jagatheesaperumal, M Rahouti… - IEEE Internet of …, 2021‏ - ieeexplore.ieee.org
The increasing need for economic, safe, and sustainable smart manufacturing combined
with novel technological enablers has paved the way for artificial intelligence (AI) and big …

Blockchain envisioned UAV networks: Challenges, solutions, and comparisons

P Mehta, R Gupta, S Tanwar - Computer Communications, 2020‏ - Elsevier
Abstract Unmanned Aerial Vehicles (UAV) or drones is a technology with a huge potential
for proving different efficient solutions in the smart city. It has been mostly adopted by …

Smart contract privacy protection using AI in cyber-physical systems: tools, techniques and challenges

R Gupta, S Tanwar, F Al-Turjman, P Italiya… - IEEE …, 2020‏ - ieeexplore.ieee.org
Applications of Blockchain (BC) technology and Cyber-Physical Systems (CPS) are
increasing exponentially. However, framing resilient and correct smart contracts (SCs) for …

Metaomnicity: Toward immersive urban metaverse cyberspaces using smart city digital twins

K Kuru - IEEE Access, 2023‏ - ieeexplore.ieee.org
The movie—The Matrix (1999)—boosted our imagination about how further we can be
immersed within the cyber world, ie, how further the cyber world can be indistinguishable …

Machine learning models for secure data analytics: A taxonomy and threat model

R Gupta, S Tanwar, S Tyagi, N Kumar - Computer Communications, 2020‏ - Elsevier
In recent years, rapid technological advancements in smart devices and their usage in a
wide range of applications exponentially increases the data generated from these devices …

[HTML][HTML] Intelligent authentication of 5G healthcare devices: A survey

AH Sodhro, AI Awad, J van de Beek, G Nikolakopoulos - Internet of Things, 2022‏ - Elsevier
The dynamic nature of wireless links and the mobility of devices connected to the Internet of
Things (IoT) over fifth-generation (5G) networks (IoT-5G), on the one hand, empowers …

Optimal 5G network slicing using machine learning and deep learning concepts

MH Abidi, H Alkhalefah, K Moiduddin, M Alazab… - Computer Standards & …, 2021‏ - Elsevier
Network slicing is predetermined to hold up the diversity of emerging applications with
enhanced performance and flexibility requirements in the way of splitting the physical …

A taxonomy of AI techniques for 6G communication networks

K Sheth, K Patel, H Shah, S Tanwar, R Gupta… - Computer …, 2020‏ - Elsevier
With 6G flagship program launched by the University of Oulu, Finland, for full future
adaptation of 6G by 2030, many institutes worldwide have started to explore various issues …