Credit card fraud detection using machine learning: a study
P Tiwari, S Mehta, N Sakhuja, J Kumar… - arXiv preprint arXiv …, 2021 - arxiv.org
As the world is rapidly moving towards digitization and money transactions are becoming
cashless, the use of credit cards has rapidly increased. The fraud activities associated with it …
cashless, the use of credit cards has rapidly increased. The fraud activities associated with it …
A secure and multiobjective virtual machine placement framework for cloud data center
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 …
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
Millions of users across the world leverages data processing and sharing benefits from
cloud environment. Data security and privacy are inevitable requirement of cloud …
cloud environment. Data security and privacy are inevitable requirement of cloud …
esDNN: deep neural network based multivariate workload prediction in cloud computing environments
Cloud computing has been regarded as a successful paradigm for IT industry by providing
benefits for both service providers and customers. In spite of the advantages, cloud …
benefits for both service providers and customers. In spite of the advantages, cloud …
A fault tolerant elastic resource management framework toward high availability of cloud services
Cloud computing has become inevitable for every digital service which has exponentially
increased its usage. However, a tremendous surge in cloud resource demand stave off …
increased its usage. However, a tremendous surge in cloud resource demand stave off …
Performance analysis of machine learning centered workload prediction models for cloud
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 …
high variability and dimensionality of heterogeneous service types and dynamic workloads …
An AI-driven VM threat prediction model for multi-risks analysis-based cloud cybersecurity
Cloud virtualization technology, ingrained with physical resource sharing, prompts
cybersecurity threats on users' virtual machines (VMs) due to the presence of inevitable …
cybersecurity threats on users' virtual machines (VMs) due to the presence of inevitable …
OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments
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 …
resource usage exponentially. The ever-growing demand of cloud resources evades service …
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism
J Dogani, F Khunjush, MR Mahmoudi… - The Journal of …, 2023 - Springer
The resources required to service cloud computing applications are dynamic and fluctuate
over time in response to variations in the volume of incoming requests. Proactive …
over time in response to variations in the volume of incoming requests. Proactive …
A high availability management model based on VM significance ranking and resource estimation for cloud applications
Massive upsurge in cloud resource usage stave off service availability resulting into
outages, resource contention, and excessive power-consumption. The existing approaches …
outages, resource contention, and excessive power-consumption. The existing approaches …