A secure and multiobjective virtual machine placement framework for cloud data center

D Saxena, I Gupta, J Kumar, AK Singh… - IEEE Systems …, 2021 - ieeexplore.ieee.org
To facilitate cost-effective and elastic computing benefits to the cloud users, the energy-
efficient and secure allocation of virtual machines (VMs) plays a significant role at the data …

Data security and privacy in cloud computing: concepts and emerging trends

R Gupta, D Saxena, AK Singh - arXiv preprint arXiv:2108.09508, 2021 - arxiv.org
Millions of users across the world leverages data processing and sharing benefits from
cloud environment. Data security and privacy are inevitable requirement of cloud …

A quantum approach towards the adaptive prediction of cloud workloads

AK Singh, D Saxena, J Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload
prediction model for Cloud datacenter. It exploits the computational efficiency of quantum …

Performance analysis of machine learning centered workload prediction models for cloud

D Saxena, J Kumar, AK Singh… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The precise estimation of resource usage is a complex and challenging issue due to the
high variability and dimensionality of heterogeneous service types and dynamic workloads …

OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments

D Saxena, AK Singh - The Journal of Supercomputing, 2022 - Springer
The indispensable collaboration of cloud computing in every digital service has raised its
resource usage exponentially. The ever-growing demand of cloud resources evades service …

[HTML][HTML] The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research

B Ramos-Cruz, J Andreu-Perez, L Martínez - Neurocomputing, 2024 - Elsevier
In today's world, it is vital to have strong cybersecurity measures in place. To combat the
ever-evolving threats, adopting advanced models like cybersecurity mesh is necessary to …

A survey and comparative study on multi-cloud architectures: emerging issues and challenges for cloud federation

D Saxena, R Gupta, AK Singh - arXiv preprint arXiv:2108.12831, 2021 - arxiv.org
Multi-cloud concept has broaden the world of cloud computing and has become a buzzword
today. The word Multi-cloud envisions utilization of services from multiple heterogeneous …

Workload forecasting and resource management models based on machine learning for cloud computing environments

D Saxena, AK Singh - arXiv preprint arXiv:2106.15112, 2021 - arxiv.org
The workload prediction and resource allocation significantly play an inevitable role in
production of an efficient cloud environment. The proactive estimation of future workload …

Security and privacy-preservation of iot data in cloud-fog computing environment

J Kumar, AK Singh - arXiv preprint arXiv:2212.00321, 2022 - arxiv.org
IoT is the fastest-growing technology with a wide range of applications in various domains.
IoT devices generate data from a real-world environment every second and transfer it to the …

[PDF][PDF] Deep learning based authentication secure data storing in cloud computing

M Prabhu, G Revathy, RR Kumar - Internation-al Journal of Computer …, 2023 - kitspress.com
To communicate organizationally important data among working units in a federated cloud
environment, secure mutual authentication is a crucial necessity. The administration of data …