128 citations · 474 across the 19 of their papers we have counts for
19 papers
Quantum Blackhole Learning-Optimized Hadamard Neural Network Model for Dynamic Resource Reservation in Industry Clouds
Deepika Saxena, Hari Mohan Gaur, Ashutosh Kumar Singh +1
Accurate workload prediction and proactive resource reservation are crucial for industry clouds. However, the conventional machine learning (CML) models with limited learning capab…
REE-TM: Reliable and Energy-Efficient Traffic Management Model for Diverse Cloud Workloads
Ashutosh Kumar Singh, Deepika Saxena, Volker Lindenstruth
Diversity of workload demands lays a critical impact on efficient resource allocation and management of cloud services. The existing literature has either weakly considered or over…
An Oversubscription and Service Pricing Exploitation-Based Profit Maximization Framework for Industry Cloud Resource Management
Deepika Saxena, Ashutosh Kumar Singh
This article proposed a novel industry cloud resource management framework that exploits resource oversubscription and heterogeneous service pricing models to maximize profitabilit…
Syntax Element Encryption for H.265/HEVC Using Chaotic Map-Based Coefficient Scrambling Scheme
Liang-Wei Li, Chung-Nan Lee, Kishu Gupta +2
In today's digital landscape, high-efficiency video coding (H.265/HEVC) has emerged as the most widely used video coding standard, employing selective encryption schemes to protect…
Multi-Factor Trust-Driven Secure Communication Model for Cloud-Based Digital Twins
Deepika Saxena, Ashutosh Kumar Singh
Cloud-based Digital Twin (DT) platforms enable real-time monitoring, simulation, and collaborative decision-making across distributed clients. However, ensuring secure and trustwor…
A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction
Jitendra Kumar, Deepika Saxena, Kishu Gupta +2
Accurate workload prediction and advanced resource reservation are indispensably crucial for managing dynamic cloud services. Traditional neural networks and deep learning models f…
A Self-Healing and Fault-Tolerant Cloud-based Digital Twin Processing Management Model
Deepika Saxena, Ashutosh Kumar Singh
Digital twins, integral to cloud platforms, bridge physical and virtual worlds, fostering collaboration among stakeholders in manufacturing and processing. However, the cloud platf…
Secure Resource Management in Cloud Computing: Challenges, Strategies and Meta-Analysis
Deepika Saxena, Smruti Rekha Swain, Jatinder Kumar +4
Secure resource management (SRM) within a cloud computing environment is a critical yet infrequently studied research topic. This paper provides a comprehensive survey and comparat…
FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments
Kishu Gupta, Deepika Saxena, Rishabh Gupta +2
Cloud computing is flourishing at a rapid pace. Significant consequences related to data security appear as a malicious user may get unauthorized access to sensitive data which may…
MAIDS: Malicious Agent Identification-based Data Security Model for Cloud Environments
Kishu Gupta, Deepika Saxena, Rishabh Gupta +1
With the vigorous development of cloud computing, most organizations have shifted their data and applications to the cloud environment for storage, computation, and sharing purpose…
A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers
Vinaytosh Mishra, Kishu Gupta, Deepika Saxena +1
Electronic Health Records (EHR) are crucial for the success of digital healthcare, with a focus on putting consumers at the center of this transformation. However, the digitalizati…
An AI-Driven VM Threat Prediction Model for Multi-Risks Analysis-Based Cloud Cybersecurity
Deepika Saxena, Ishu Gupta, Rishabh Gupta +2
Cloud virtualization technology, ingrained with physical resource sharing, prompts cybersecurity threats on users' virtual machines (VM)s due to the presence of inevitable vulnerab…
Cryptography approach for Secure Outsourced Data Storage in Cloud Environment
Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh
A large amount of data and applications are migrated by researchers, stakeholders, academia, and business organizations to the cloud environment due to its large variety of service…
An AI-driven intelligent traffic management model for 6G cloud radio access networks
Smruti Rekha Swain, Deepika Saxena, Jatinder Kumar +2
This letter proposes a novel Cloud Radio Access Network (C-RAN) traffic analysis and management model that estimates probable RAN traffic congestion and mitigate its effect by adop…
Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud
Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh +1
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. Ove…
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…
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…
A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federation
Deepika Saxena, Rishabh Gupta, Ashutosh Kumar Singh
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 clo…
Data Security and Privacy in Cloud Computing: Concepts and Emerging Trends
Rishabh Gupta, Deepika Saxena, Ashutosh Kumar Singh
Millions of users across the world leverages data processing and sharing benefits from cloud environment. Data security and privacy are inevitable requirement of cloud environment.…