output
20082025
most citedMachine Learning Based Intrusion Detection Systems for IoT Applications

411 citations

Showing 2022Show all

7 papers · 1 filter

cs.CR2022★ 69 cited

A Privacy-Preserving Model based on Differential Approach for Sensitive Data in Cloud Environment

Ashutosh Kumar Singh, Rishabh Gupta

A large amount of data and applications need to be shared with various parties and stakeholders in the cloud environment for storage, computation, and data utilization. Since a thi…

cs.CR2022★ 63 cited

A Differential Approach for Data and Classification Service based Privacy-Preserving Machine Learning Model in Cloud Environment

Rishabh Gupta, Ashutosh Kumar Singh

The massive upsurge in computational and storage has driven the local data and machine learning applications to the cloud environment. The owners may not fully trust the cloud envi…

cs.DC2022★ 37 cited

OSC-MC: Online Secure Communication Model for Cloud Environment

Deepika Saxena, Ashutosh Kumar Singh

A malicious cloud user may exploit outsourced data involved in online communication, co-residency, and hypervisor vulnerabilities to breach and hamper sensitive information, and in…

cs.DC2022★ 72 cited

A Fault Tolerant Elastic Resource Management Framework Towards High Availability of Cloud Services

Deepika Saxena, Ishu Gupta, Ashutosh Kumar Singh +1

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 service…

cs.DC2022★ 37 cited

A High Availability Management Model based on VM Significance Ranking and Resource Estimation for Cloud Applications

Deepika Saxena, Ashutosh Kumar Singh

Massive upsurge in cloud resource usage stave off service availability resulting into outages, resource contention, and excessive power-consumption. The existing approaches have ad…

cs.DC2022★ 105 cited

A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads

Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar +1

This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload prediction model for Cloud datacenter. It exploits the computational efficiency of quantum comp…

hep-ph2022★ 14 cited

Quark generalized TMDs at skewness and Wigner Distribution in boost invariant longitudinal space

Vikash Kumar Ojha, Sujit Jana, Tanmay Maji

The boost-invariant longitudinal space, defined by the parameter can be studied from the Fourier transformation of distributions over the conjugate variable s…