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A Novel Hybrid Approach for Multi-Dimensional Data Anonymization for Apache Spark
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-33495-6_7openalex-snapshot
A Distributed Method Based on Mondrian Algorithm for Big Data Anonymization
inferredcites →https://doi.org/10.1007/978-3-030-36938-5_40openalex-snapshot
SparkDA: RDD-Based High-Performance Data Anonymization Technique for Spark Platform
inferredcites →https://doi.org/10.1007/978-3-319-11212-1_8openalex-snapshot
What’s the Gist? Privacy-Preserving Aggregation of User Profiles
inferredcites →https://doi.org/10.1007/978-3-319-49145-5_31openalex-snapshot
Scalable Iterative Implementation of Mondrian for Big Data Multidimensional Anonymisation
inferredcites →https://doi.org/10.1007/978-3-319-64203-1_21openalex-snapshot
Execution of Recursive Queries in Apache Spark
inferredcites →https://doi.org/10.1007/s10586-018-1811-1openalex-snapshot
Scalable distributed data cube computation for large-scale multidimensional data analysis on a Spark cluster
inferredcites →https://doi.org/10.1007/s11786-018-0344-6openalex-snapshot
Some Basics on Privacy Techniques, Anonymization and their Big Data Challenges
inferredcites →https://doi.org/10.1016/j.datak.2011.07.001openalex-snapshot
Information based data anonymization for classification utility
inferredcites →https://doi.org/10.1016/j.ins.2020.07.066openalex-snapshot
DI-Mondrian: Distributed improved Mondrian for satisfaction of the L-diversity privacy model using Apache Spark
inferredcites →https://doi.org/10.1049/iet-sen.2016.0264openalex-snapshot
Privacy preserving big data publishing: a scalable k ‐anonymization approach using MapReduce
inferredcites →https://doi.org/10.1109/bigdata.2017.8258209openalex-snapshot
Understanding and improving disk-based intermediate data caching in Spark
inferredcites →https://doi.org/10.1109/bigdata.2017.8258492openalex-snapshot
A top-down k-anonymization implementation for apache spark
inferredcites →https://doi.org/10.1109/bigdatacongress.2017.15openalex-snapshot
Scalable, Efficient Anonymization with INCOGNITO - Framework & Algorithm
inferredcites →https://doi.org/10.1109/cgc.2013.24openalex-snapshot
A MapReduce Based Approach of Scalable Multidimensional Anonymization for Big Data Privacy Preservation on Cloud
inferredcites →https://doi.org/10.1109/ic2e.2014.43openalex-snapshot
A Scalable K-Anonymization Solution for Preserving Privacy in an Aging-in-Place Welfare Intercloud
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/icde.2005.143openalex-snapshot
Top-Down Specialization for Information and Privacy Preservation
inferredcites →https://doi.org/10.1109/icde.2006.101openalex-snapshot
Mondrian Multidimensional K-Anonymity
inferredcites →https://doi.org/10.1109/icde.2008.4497558openalex-snapshot
Anonymizing Streaming Data for Privacy Protection
inferredcites →https://doi.org/10.1109/icde.2018.00171openalex-snapshot
PRIMA: An End-to-End Framework for Privacy at Scale
inferredcites →https://doi.org/10.1109/lcn.2016.029openalex-snapshot
Sensitivity-Based Anonymization of Big Data
inferredcites →https://doi.org/10.1109/tc.2014.2360516openalex-snapshot
Proximity-Aware Local-Recoding Anonymization with MapReduce for Scalable Big Data Privacy Preservation in Cloud
inferredcites →https://doi.org/10.1109/tpds.2016.2627558openalex-snapshot
Leveraging Adaptive I/O to Optimize Collective Data Shuffling Patterns for Big Data Analytics
inferredcites →https://doi.org/10.1145/1142473.1142499openalex-snapshot
Injecting utility into anonymized datasets
inferredcites →https://doi.org/10.1145/1150402.1150504openalex-snapshot
Utility-based anonymization using local recoding
inferredcites →https://doi.org/10.1145/1538909.1538911openalex-snapshot
A framework for efficient data anonymization under privacy and accuracy constraints
inferredcites →https://doi.org/10.1145/2882903.2915229openalex-snapshot
Big Data Analytics with Datalog Queries on Spark
inferredcites →https://doi.org/10.1145/2886107openalex-snapshot
An Architecture for Fast and General Data Processing on Large Clusters
inferredcites →https://doi.org/10.2139/ssrn.3439166openalex-snapshot
Who Becomes a Member of Congress? Evidence From De-Anonymized Census Data
inferredcites →https://doi.org/10.3390/e20050373openalex-snapshot
An Efficient Big Data Anonymization Algorithm Based on Chaos and Perturbation Techniques
inferredcites →https://doi.org/10.3390/electronics10050589openalex-snapshot
Scalable, High-Performance, and Generalized Subtree Data Anonymization Approach for Apache Spark
inferredcites →https://doi.org/10.3390/electronics9101732openalex-snapshot
In-Memory Data Anonymization Using Scalable and High Performance RDD Design
inferredcites →https://doi.org/10.5220/0007685200610071openalex-snapshot
Anonylitics: From a Small Data to a Big Data Anonymization System for Analytical Projects
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1109/access.2022.3175219openalex-snapshot
Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook
inferred← citeshttps://doi.org/10.1109/iccbdai66607.2025.11388590openalex-snapshot
Optimizing Breast Cancer Classification Accuracy with Hybrid Deep Learning and Advanced Image Processing
inferred← citeshttps://doi.org/10.1109/iccd63220.2024.00028openalex-snapshot
Interpretable Risk-aware Access Control for Spark: Blocking Attack Purpose Behind Actions
inferred← citeshttps://doi.org/10.1109/iccsc71566.2026.11650399openalex-snapshot
UPAS: A Unified Privacy-Preserving Anonymization Framework for Spark Platform
inferred← citeshttps://doi.org/10.1109/icosst69113.2025.11315386openalex-snapshot
Scalable Deep Learning Frameworks for Cyberbullying Detection in Social Media
inferred← citeshttps://doi.org/10.1109/icosst69113.2025.11315458openalex-snapshot
Big Data Analysis of Dark Matter Distribution in the Milky Way with Gaia DR3, Machine Learning, and Apache Spark
inferred← citeshttps://doi.org/10.1109/icosst69113.2025.11315490openalex-snapshot
Data Driven Approach for Early Risk Assessment of Cardiovascular Disease through Logistic Regression
inferred← citeshttps://doi.org/10.1109/iisec54230.2021.9672355openalex-snapshot
Kernel Virtual Machine based High Performance Environment for Grid and Jungle Computing
inferred← citeshttps://doi.org/10.1109/iisec56263.2022.9998205openalex-snapshot
Phishing and Intrusion Attacks: An Overview of Classification Mechanisms
inferred← citeshttps://doi.org/10.1109/iisec56263.2022.9998305openalex-snapshot
Cyber Security's Silver Bullet - A Systematic Literature Review of AI-Powered Security
inferred← citeshttps://doi.org/10.1109/tbdata.2022.3207521openalex-snapshot
Scalable Distributed Data Anonymization for Large Datasets
inferred← citeshttps://doi.org/10.1109/tvt.2023.3285306openalex-snapshot
Lightweight and Bilateral Controllable Data Sharing for Secure Autonomous Vehicles Platooning Service
inferred← citeshttps://doi.org/10.11591/ijece.v14i4.pp4686-4696openalex-snapshot
Big data anonymization using Spark for enhanced privacy protection
inferred← citeshttps://doi.org/10.1186/s42400-024-00345-2openalex-snapshot
Unitanony: a fine-grained and practical anonymization framework for better data utility
inferred← citeshttps://doi.org/10.3390/math11020401openalex-snapshot
Efficient Associate Rules Mining Based on Topology for Items of Transactional Data
inferred← citeshttps://doi.org/10.4018/979-8-3373-3501-8.ch003openalex-snapshot
Analytics for Health Resilience
inferred← citeshttps://doi.org/10.4018/979-8-3373-3501-8.ch005openalex-snapshot
Big Data Analytics and AI-Driven Approaches for Air Pollution Trend Analysis
inferred← citeshttps://doi.org/10.4018/979-8-3373-3501-8.ch007openalex-snapshot
Deep Learning in Remote Sensing for Disaster Management and Humanitarian Aid
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