A systematic analysis of enhancing cyber security using deep learning for cyber physical systems

S Gaba, I Budhiraja, V Kumar, S Martha, J Khurmi… - IEEE …, 2024 - ieeexplore.ieee.org
In this current era, cyber-physical systems (CPSs) have gained concentrated consideration
in various fields because of their emergent applications. Though the robust dependence on …

A hybrid task offloading and resource allocation approach for digital twin-empowered UAV-assisted MEC network using federated reinforcement learning for future …

P Consul, I Budhiraja, D Garg, N Kumar… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Federated learning (FL) is proposed as a different approach for distributed learning on the
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …

[HTML][HTML] Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT

P Consul, I Budhiraja, R Arora, S Garg, BJ Choi… - Alexandria Engineering …, 2024 - Elsevier
The exponential proliferation of wearable medical apparatus and healthcare information
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …

A hybrid secure resource allocation and trajectory optimization approach for mobile edge computing using federated learning based on WEB 3.0

P Consul, I Budhiraja, D Garg - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The use of unmanned aerial vehicles (UAVs) in Internet-of-Things (IoT) has grown, but
security for UAV communications still a challenge due to the distributed nature of line-of …

Deep reinforcement learning based rate enhancement scheme for RIS assisted mobile users underlaying UAV

N Joshi, I Budhiraja, D Garg, S Garg, BJ Choi… - Alexandria Engineering …, 2024 - Elsevier
The fifth generation (5G) network enabled communication between devices has emerged as
a state-of-the-art technology. In the era of proliferating smart devices and intelligent wireless …

RIS-assisted UAV-enabled green communications for industrial IoT exploiting deep learning

Q Xu, Q You, Y Gong, X Yang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT), regarded as an important technology for Industry 4.0, has
the capability to connect massive IoT devices anywhere and at anytime in manufacturing …

Multi-IRS-assisted mmWave UAV-BS network for coverage extension

S Yamamoto, J Nakazato, GK Tran - Sensors, 2024 - mdpi.com
In the era of Industry 5.0, advanced technologies like artificial intelligence (AI), robotics, big
data, and the Internet of Things (IoT) offer promising avenues for economic growth and …

Quantum computing integrated patterns for real-time cryptography in assorted domains

S Nagpal, S Gaba, I Budhiraja, M Sharma… - IEEE …, 2024 - ieeexplore.ieee.org
Quantum computers use quantum-mechanical phenomena for knowledge manipulation and
depend on quantum bits or qubits. A qubit can be created in several different ways, and out …

SFL-TUM: Energy efficient SFRL method for large scale AI model's task offloading in UAV-assisted MEC networks

P Consul, I Budhiraja, D Garg, S Garg… - Vehicular …, 2024 - Elsevier
The convergence of mobile edge computing (MEC) network with unmanned aerial vehicles
(UAVs) presents an auspicious opportunity to revolutionize wireless communication and …

Towards an optimal 3-D design and deployment of 6G UAVs for interference mitigation under terrestrial networks

P Consul, I Budhiraja, D Garg, S Garg, MM Hassan… - Ad Hoc Networks, 2024 - Elsevier
Unmanned aerial vehicles (UAVs) have opened new communication possibilities by being
able to access remote areas. Their ability to serve a large number of users based on …