Cover Image

A Global Medical Data Security and Privacy Preserving Standards Identification Framework for Electronic Healthcare Consumers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mishra, Vinaytosh, Gupta, Kishu, Saxena, Deepika, Singh, Ashutosh Kumar
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Global Cybersecurity Standardization Framework for Healthcare Informatics
by: Gupta, Kishu, et al.
Published: (2024)

MAIDS: Malicious Agent Identification-based Data Security Model for Cloud Environments
by: Gupta, Kishu, et al.
Published: (2024)

Indian Wedding System Optimization (IWSO): A Novel Socially Inspired Metaheuristic with Operational Design and Analysis
by: Saxena, Deepika, et al.
Published: (2026)

A Comprehensively Adaptive Architectural Optimization-Ingrained Quantum Neural Network Model for Cloud Workloads Prediction
by: Kumar, Jitendra, et al.
Published: (2025)

An Intelligent Quantum Cyber-Security Framework for Healthcare Data Management
by: Gupta, Kishu, et al.
Published: (2024)

FedMUP: Federated Learning driven Malicious User Prediction Model for Secure Data Distribution in Cloud Environments
by: Gupta, Kishu, et al.
Published: (2024)

Secure Resource Management in Cloud Computing: Challenges, Strategies and Meta-Analysis
by: Saxena, Deepika, et al.
Published: (2025)

Multi-Factor Trust-Driven Secure Communication Model for Cloud-Based Digital Twins
by: Saxena, Deepika, et al.
Published: (2026)

A Late-Fusion Multimodal AI Framework for Privacy-Preserving Deduplication in National Healthcare Data Environments
by: Ahmed, Mohammed Omer Shakeel
Published: (2026)

Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions
by: Awasthi, Anant Prakash, et al.
Published: (2024)

ViT Enhanced Privacy-Preserving Secure Medical Data Sharing and Classification
by: Amin, Al, et al.
Published: (2024)

A Self-Healing and Fault-Tolerant Cloud-based Digital Twin Processing Management Model
by: Saxena, Deepika, et al.
Published: (2025)

Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
by: Kotal, Anantaa, et al.
Published: (2023)

Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
by: Xu, Yukai, et al.
Published: (2024)

Preserving Privacy and Security in Federated Learning
by: Nguyen, Truc, et al.
Published: (2022)

Guarding Digital Privacy: Exploring User Profiling and Security Enhancements
by: Kohli, Rishika, et al.
Published: (2025)

Privacy-Preserving Sensor-Based Human Activity Recognition for Low-Resource Healthcare Using Classical Machine Learning
by: Kumar, Ramakant, et al.
Published: (2026)

DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
by: Huang, Wei, et al.
Published: (2025)

Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection
by: Liu, Shaobo, et al.
Published: (2025)

Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications
by: Jentsch, Julia, et al.
Published: (2024)

Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture
by: Fares, Mohamad Haj, et al.
Published: (2024)

Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
by: Pan, Zhixin, et al.
Published: (2024)

Improving Sequence-to-Sequence Models for Abstractive Text Summarization Using Meta Heuristic Approaches
by: Saxena, Aditya, et al.
Published: (2024)

When do complex-valued neural networks help? A study of representation, geometry, and optimization
by: Kumar, Ashutosh
Published: (2026)

SoK: Security and Privacy Risks of Healthcare AI
by: Chang, Yuanhaur, et al.
Published: (2024)

FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
by: Xu, Mingcong, et al.
Published: (2025)

SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval
by: Murhekar, Akshaj, et al.
Published: (2026)

CL3: A Collaborative Learning Framework for the Medical Data Ensuring Data Privacy in the Hyperconnected Environment
by: Parvez, Mohamamd Zavid, et al.
Published: (2024)

Generation and De-Identification of Indian Clinical Discharge Summaries using LLMs
by: Singh, Sanjeet, et al.
Published: (2024)

A Federated Learning Approach to Privacy Preserving Offensive Language Identification
by: Zampieri, Marcos, et al.
Published: (2024)

Balancing Security and Privacy: The Pivotal Role of AI in Modern Healthcare Systems
by: P, Binu V, et al.
Published: (2026)

Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
by: Zafar, Osama, et al.
Published: (2025)

Data Privacy Preservation on the Internet of Things
by: Sen, Jaydip, et al.
Published: (2023)

Device-Native Autonomous Agents for Privacy-Preserving Negotiations
by: Roy, Joyjit, et al.
Published: (2026)

PQFed: A Privacy-Preserving Quality-Controlled Federated Learning Framework
by: Yue, Weiqi, et al.
Published: (2025)

Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
by: Kaur, Navneet, et al.
Published: (2025)

Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare
by: Nawaz, Anum, et al.
Published: (2025)

Secure Sparse Matrix Multiplications and their Applications to Privacy-Preserving Machine Learning
by: Damie, Marc, et al.
Published: (2025)

TrajSyn: Privacy-Preserving Dataset Distillation from Federated Model Trajectories for Server-Side Adversarial Training
by: Gupta, Mukur, et al.
Published: (2025)

Federated Learning for Privacy-Preserving Medical AI
by: Hoang, Tin
Published: (2026)