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A clustering‐based anonymization approach for privacy‐preserving in the healthcare cloud

https://doi.org/10.1002/cpe.6487
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Data replication mechanisms in the peer‐to‐peer networks
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Skew‐symmetric distributions generated by the distribution function of the normal distribution
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Flexible data anonymization using ARX—Current status and challenges ahead
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K-Anonymity Algorithm Based on Improved Clustering
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Putting Statistical Disclosure Control into Practice: The ARX Data Anonymization Tool
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Toward Privacy in Public Databases
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Efficient k-Anonymization Using Clustering Techniques
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Cloud Computing: An Overview
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Efficient Privacy Preserving K-Means Clustering
inferredcites →https://doi.org/10.1007/978-981-13-6351-1_3openalex-snapshot
Design and Development of a Cloud-Based Electronic Medical Records (EMR) System
inferredcites →https://doi.org/10.1007/s00236-010-0131-6openalex-snapshot
Efficient systematic clustering method for k-anonymization
inferredcites →https://doi.org/10.1007/s00607-020-00847-0openalex-snapshot
Improving healthcare services using source anonymous scheme with privacy preserving distributed healthcare data collection and mining
inferredcites →https://doi.org/10.1007/s00779-012-0618-yopenalex-snapshot
A k-anonymity privacy-preserving approach in wireless medical monitoring environments
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Data Privacy in Cloud-assisted Healthcare Systems: State of the Art and Future Challenges
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Healthcare Data Gateways: Found Healthcare Intelligence on Blockchain with Novel Privacy Risk Control
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Privacy-Preserving Algorithms for Multiple Sensitive Attributes Satisfying t-Closeness
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Privacy-preserving k-means clustering with local synchronization in peer-to-peer networks
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iMAGE cloud: medical image processing as a service for regional healthcare in a hybrid cloud environment
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Adaptive k-Anonymity Approach for Privacy Preserving in Cloud
inferredcites →https://doi.org/10.1016/j.asoc.2019.105995openalex-snapshot
A reversible privacy-preserving clustering technique based on k-means algorithm
inferredcites →https://doi.org/10.1016/j.compbiomed.2016.09.003openalex-snapshot
Security and privacy preserving approaches in the eHealth clouds with disaster recovery plan
inferredcites →https://doi.org/10.1016/j.cose.2013.12.002openalex-snapshot
Achieving an effective, scalable and privacy-preserving data sharing service in cloud computing
inferredcites →https://doi.org/10.1016/j.cose.2017.09.002openalex-snapshot
Privacy-preserving tabular data publishing: A comprehensive evaluation from web to cloud
inferredcites →https://doi.org/10.1016/j.cose.2019.06.017openalex-snapshot
An efficient privacy preserving protocol for dynamic continuous data collection
inferredcites →https://doi.org/10.1016/j.cose.2020.101753openalex-snapshot
Optimization-based k-anonymity algorithms
inferredcites →https://doi.org/10.1016/j.future.2017.09.002openalex-snapshot
PPDP: An efficient and privacy-preserving disease prediction scheme in cloud-based e-Healthcare system
inferredcites →https://doi.org/10.1016/j.icte.2018.10.002openalex-snapshot
An improved privacy preservation technique in health-cloud
inferredcites →https://doi.org/10.1016/j.ijinfomgt.2013.12.011openalex-snapshot
Making use of cloud computing for healthcare provision: Opportunities and challenges
inferredcites →https://doi.org/10.1016/j.ipm.2011.01.004openalex-snapshot
User k-anonymity for privacy preserving data mining of query logs
inferredcites →https://doi.org/10.1016/j.jbi.2014.06.002openalex-snapshot
Publishing data from electronic health records while preserving privacy: A survey of algorithms
inferredcites →https://doi.org/10.1016/j.jbi.2016.06.011openalex-snapshot
An innovative privacy preserving technique for incremental datasets on cloud computing
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An efficient quasi-identifier index based approach for privacy preservation over incremental data sets on cloud
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Privacy-preserving anomaly detection in cloud with lightweight homomorphic encryption
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Improved l-diversity: Scalable anonymization approach for Privacy Preserving Big Data Publishing
inferredcites →https://doi.org/10.1016/j.jnca.2015.11.023openalex-snapshot
An efficient and secure privacy-preserving approach for outsourced data of resource constrained mobile devices in cloud computing
inferredcites →https://doi.org/10.1016/j.jpdc.2019.08.007openalex-snapshot
Privacy-preserving big data analytics a comprehensive survey
inferredcites →https://doi.org/10.1016/j.procs.2015.10.073openalex-snapshot
Preserving Privacy of Patients Based on Re-identification Risk
inferredcites →https://doi.org/10.1016/j.procs.2016.05.171openalex-snapshot
Impact of Processing and Analyzing Healthcare Big Data on Cloud Computing Environment by Implementing Hadoop Cluster
inferredcites →https://doi.org/10.1016/j.procs.2017.08.292openalex-snapshot
Big data security and privacy in healthcare: A Review
inferredcites →https://doi.org/10.1080/00031305.1982.10482810openalex-snapshot
A Modest Proposal: A New Standard for the Normal
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Protecting respondents identities in microdata release
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Privacy-Preserving Data Mining: Methods, Metrics, and Applications
inferredcites →https://doi.org/10.1109/access.2019.2938528openalex-snapshot
Efficient Privacy-Preserving Certificateless Provable Data Possession Scheme for Cloud Storage
inferredcites →https://doi.org/10.1109/ccnc.2013.6488579openalex-snapshot
CloudHealth: Developing a reliable cloud platform for healthcare applications
inferredcites →https://doi.org/10.1109/icacci.2014.6968627openalex-snapshot
Health cloud - Healthcare as a service(HaaS)
inferredcites →https://doi.org/10.1109/icaccs.2019.8728384openalex-snapshot
Privacy Preserving Big Data Publication On Cloud Using Mondrian Anonymization Techniques and Deep Neural Networks
inferredcites →https://doi.org/10.1109/iccitechn.2014.7073139openalex-snapshot
Cloud based healthcare application architecture and electronic medical record mining: An integrated approach to improve healthcare system
inferredcites →https://doi.org/10.1109/iccsdet.2018.8821140openalex-snapshot
A Privacy Preserving Scheme for Big data Publishing in the Cloud using k-Anonymization and Hybridized Optimization Algorithm
inferredcites →https://doi.org/10.1109/icicci.2010.119openalex-snapshot
Cloud Storage as the Infrastructure of Cloud Computing
inferredcites →https://doi.org/10.1109/icrtit.2014.6996146openalex-snapshot
A cost effective clustering based anonymization approach for storing PHR's in cloud
inferredcites →https://doi.org/10.1109/isco.2015.7282237openalex-snapshot
An evaluation on big data generalization using k-Anonymity algorithm on cloud
inferredcites →https://doi.org/10.1109/jstsp.2015.2427113openalex-snapshot
PPDM: A Privacy-Preserving Protocol for Cloud-Assisted e-Healthcare Systems
inferredcites →https://doi.org/10.1109/mic.2012.14openalex-snapshot
Security Challenges for the Public Cloud
inferredcites →https://doi.org/10.1109/mic.2018.022021660openalex-snapshot
Healthcare Informatics and Privacy
inferredcites →https://doi.org/10.1109/mic.2018.112102519openalex-snapshot
Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems
inferredcites →https://doi.org/10.1109/sces.2012.6199061openalex-snapshot
Notice of Violation of IEEE Publication Principles - K-means versus k-means ++ clustering technique
inferredcites →https://doi.org/10.1109/tdsc.2009.25openalex-snapshot
An Obfuscation-Based Approach for Protecting Location Privacy
inferredcites →https://doi.org/10.1109/tkde.2006.14openalex-snapshot
Random projection-based multiplicative data perturbation for privacy preserving distributed data mining
inferredcites →https://doi.org/10.1109/tpds.2014.2306193openalex-snapshot
Efficient $k$ -Means++ Approximation with MapReduce
inferredcites →https://doi.org/10.1137/1.9781611972764.47openalex-snapshot
A New Privacy-Preserving Distributed k-Clustering Algorithm
inferredcites →https://doi.org/10.1142/s0218488502001648openalex-snapshot
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
inferredcites →https://doi.org/10.1145/1081870.1081942openalex-snapshot
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data
inferredcites →https://doi.org/10.1145/1644015.1644016openalex-snapshot
Resilient dictionaries
inferredcites →https://doi.org/10.1145/1798596.1798602openalex-snapshot
Achieving anonymity via clustering
inferredcites →https://doi.org/10.1145/1807167.1807248openalex-snapshot
Non-homogeneous generalization in privacy preserving data publishing
inferredcites →https://doi.org/10.1145/1866739.1866758openalex-snapshot
A firm foundation for private data analysis
inferredcites →https://doi.org/10.1186/s40537-017-0110-7openalex-snapshot
Big healthcare data: preserving security and privacy
inferredcites →https://doi.org/10.12785/amis/080321openalex-snapshot
A Survey of Privacy Preserving Data Publishing using Generalization and Suppression
inferredcites →https://doi.org/10.1641/0006-3568(2001)051[0341:lndats]2.0.co;2openalex-snapshot
Log-normal Distributions across the Sciences: Keys and Clues
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A Novel Outlier Detection Applied to an Adaptive K-Means
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A Formula for the Approximation of Definite Integrals of the Normal Distribution Function
inferredcites →https://doi.org/10.2991/978-94-6239-061-4_2openalex-snapshot
Normal Distribution
inferredcites →https://doi.org/10.5120/5679-7717openalex-snapshot
A Novel approach for Privacy Preserving in Medical Data Mining using Sensitivity based anonymity
inferredcites →https://doi.org/10.5555/1824401.1824402openalex-snapshot
P-Sensitive K-Anonymity with Generalization Constraints
inferredcites →https://doi.org/10.7472/jksii.2016.17.5.51openalex-snapshot
A Hybrid K-anonymity Data Relocation Technique for Privacy Preserved Data Mining in Cloud Computing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Supporting Big Healthcare Data Management and Analytics: The Cloud-Based QFLS Framework
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Federated Clouds: A New Metric for Measuring the Quality of Data Anonymization
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An Anonymization Technique-Based on L-Diversity for Protecting Privacy in Data Publishing
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A K-Anonymity Technique for Privacy Preserving Data Publishing
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An intuitionistic fuzzy-based intelligent system for semantic interoperability and privacy preservation in healthcare systems
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Iterative local search for preserving data privacy
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Manhattan-based k-member clustering and enhanced rabbit optimization algorithm for k-anonymization in social network
inferred← citeshttps://doi.org/10.1007/s11227-023-05606-4openalex-snapshot
A novel Jarratt butterfly Ebola optimization-based attentional random forest for data anonymization in cloud environment
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A Novel Black-Winged Kite Algorithm with Deep Learning for Autism Detection of Privacy Preserved Data
inferred← citeshttps://doi.org/10.1016/j.cose.2022.103027openalex-snapshot
Design of privacy preserving model based on clustering involved anonymization along with feature selection
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Privacy-preserving multidimensional big data analytics models, methods and techniques: A comprehensive survey
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A study of improved k-anonymity privacy-preserving algorithms for data sharing
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Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook
inferred← citeshttps://doi.org/10.1109/access.2022.3199433openalex-snapshot
Privacy Preserving Attribute-Focused Anonymization Scheme for Healthcare Data Publishing
inferred← citeshttps://doi.org/10.1109/access.2022.3231446openalex-snapshot
The Next Generation of eHealth: A Multidisciplinary Survey
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Quantifying the Vulnerability of Attributes for Effective Privacy Preservation Using Machine Learning
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Solving the Privacy-Equity Trade-off in Data Sharing By Using Homophily, Diversity, and t-Closeness Based Anonymity Algorithm
inferred← citeshttps://doi.org/10.1109/access.2025.3552412openalex-snapshot
When Poor-Quality Data Meet Anonymization Models: Threats and Countermeasures
inferred← citeshttps://doi.org/10.1109/iatmsi68868.2026.11465190openalex-snapshot
A Survey on Privacy-Preserving Clustering Techniques: From K-Anonymity to Federated Learning
inferred← citeshttps://doi.org/10.1109/icecce61019.2023.10442797openalex-snapshot
A Privacy-Preserving Smart Body Scale with K-Means Anonymization towards GDPR-Compliant IoT
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An Efficient Hybrid Decision Tree-Black Hole Algorithm for High-Utility K-Anonymity
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Integrating Curriculum Learning With k-Means: A Data-Centric Approach to Faster Clustering
inferred← citeshttps://doi.org/10.1109/msn63567.2024.00162openalex-snapshot
Integrating K-Anonymity with Meta-Heuristic Algorithms for Enhanced Data Privacy and Security
inferred← citeshttps://doi.org/10.1109/tetc.2023.3258528openalex-snapshot
Towards Optimization of Privacy-Utility Trade-Off Using Similarity and Diversity Based Clustering
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FedPETv1: Edge-Aware Federated Learning with Differential Privacy for Distributed Medical Diagnostics
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An Effective Clustering Based Privacy Preserving Model Against Feature Attacks
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An anonymization-based privacy-preserving data collection protocol for digital health data
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Designing a Novel Approach Using a Greedy and Information-Theoretic Clustering-Based Algorithm for Anonymizing Microdata Sets
inferred← citeshttps://doi.org/10.3390/electronics11091449openalex-snapshot
Group Privacy: An Underrated but Worth Studying Research Problem in the Era of Artificial Intelligence and Big Data
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The Social and Professional Image of the Nurse: Results of an Online Snowball Sampling Survey among the General Population in the Post-Pandemic Period
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Privacy Preserving Using K Member Gaussian Kernel Fuzzy C Means and Self Adaptive Honey Badger for Online Social Networks
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A Customer Clustering Algorithm for Power Logistics Distribution Network Structure and Distribution Volume Constraints
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An Effective Clustering Based Privacy Preserving Model Against Feature Attacks
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