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Privacy preserving big data analytics: A critical analysis of state‐of‐the‐art
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/cpe.3083openalex-snapshot
SaC‐FRAPP: a scalable and cost‐effective framework for privacy preservation over big data on cloud
inferredcites →https://doi.org/10.1002/widm.1208openalex-snapshot
Big data analytics for security and criminal investigations
inferredcites →https://doi.org/10.1002/widm.1328openalex-snapshot
A review on sentiment discovery and analysis of educational big‐data
inferredcites →https://doi.org/10.1007/11535706_11openalex-snapshot
Privacy-Preserving Decision Trees over Vertically Partitioned Data
inferredcites →https://doi.org/10.1007/11535706_13openalex-snapshot
Privacy-Preserving Distributed k-Anonymity
inferredcites →https://doi.org/10.1007/978-1-4614-9242-9_8openalex-snapshot
Practical Distributed Privacy-Preserving Data Analysis at Large Scale
inferredcites →https://doi.org/10.1007/978-3-540-25955-8_2openalex-snapshot
Data Swapping: Variations on a Theme by Dalenius and Reiss
inferredcites →https://doi.org/10.1007/978-3-540-28628-8_32openalex-snapshot
Privacy-Preserving Datamining on Vertically Partitioned Databases
inferredcites →https://doi.org/10.1007/s10115-006-0001-2openalex-snapshot
Singular value decomposition based data distortion strategy for privacy protection
inferredcites →https://doi.org/10.1007/s10618-006-0051-9openalex-snapshot
Privacy-preserving boosting
inferredcites →https://doi.org/10.1016/0378-3758(82)90058-1openalex-snapshot
Data-swapping: A technique for disclosure control
inferredcites →https://doi.org/10.1016/j.cose.2019.101570openalex-snapshot
An efficient and scalable privacy preserving algorithm for big data and data streams
inferredcites →https://doi.org/10.1016/j.datak.2007.03.015openalex-snapshot
Privacy preserving clustering on horizontally partitioned data
inferredcites →https://doi.org/10.1016/j.datak.2009.06.003openalex-snapshot
Accurate and large-scale privacy-preserving data mining using the election paradigm
inferredcites →https://doi.org/10.1016/j.dss.2004.10.013openalex-snapshot
Secure and useful data sharing
inferredcites →https://doi.org/10.1016/j.dss.2009.07.003openalex-snapshot
Identity disclosure protection: A data reconstruction approach for privacy-preserving data mining
inferredcites →https://doi.org/10.1016/j.dss.2010.01.010openalex-snapshot
The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online
inferredcites →https://doi.org/10.1016/j.dss.2012.05.048openalex-snapshot
Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud
inferredcites →https://doi.org/10.1016/j.dss.2013.09.018openalex-snapshot
The impact of disposition to privacy, website reputation and website familiarity on information privacy concerns
inferredcites →https://doi.org/10.1016/j.eswa.2020.113388openalex-snapshot
Healthcare informatics and analytics in big data
inferredcites →https://doi.org/10.1016/j.future.2018.01.003openalex-snapshot
Privacy-preserving fusion of IoT and big data for e-health
inferredcites →https://doi.org/10.1016/j.ins.2014.01.015openalex-snapshot
Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
inferredcites →https://doi.org/10.1016/j.ins.2018.02.005openalex-snapshot
Privacy-preserving smart IoT-based healthcare big data storage and self-adaptive access control system
inferredcites →https://doi.org/10.1016/j.ins.2019.10.019openalex-snapshot
Privacy-preserving clustering for big data in cyber-physical-social systems: Survey and perspectives
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/icc.2019.8761267openalex-snapshot
Towards Efficient and Privacy-Preserving Federated Deep Learning
inferredcites →https://doi.org/10.1109/icde.2006.1openalex-snapshot
L-diversity: privacy beyond k-anonymity
inferredcites →https://doi.org/10.1109/icde.2006.101openalex-snapshot
Mondrian Multidimensional K-Anonymity
inferredcites →https://doi.org/10.1109/icde.2007.367856openalex-snapshot
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
inferredcites →https://doi.org/10.1109/icde.2007.367859openalex-snapshot
On Randomization, Public Information and the Curse of Dimensionality
inferredcites →https://doi.org/10.1109/icdm.2003.1250908openalex-snapshot
On the privacy preserving properties of random data perturbation techniques
inferredcites →https://doi.org/10.1109/icdm.2005.121openalex-snapshot
Privacy Preserving Data Classification with Rotation Perturbation
inferredcites →https://doi.org/10.1109/icdmw.2008.77openalex-snapshot
Wavelet-Based Data Perturbation for Simultaneous Privacy-Preserving and Statistics-Preserving
inferredcites →https://doi.org/10.1109/infcomw.2014.6849284openalex-snapshot
Achieving big data privacy via hybrid cloud
inferredcites →https://doi.org/10.1109/isi.2007.379475openalex-snapshot
Fast Fourier Transform Based Data Perturbation Method for Privacy Protection
inferredcites →https://doi.org/10.1109/mnet.2014.6863131openalex-snapshot
Toward efficient and privacy-preserving computing in big data era
inferredcites →https://doi.org/10.1109/sp.2008.33openalex-snapshot
Robust De-anonymization of Large Sparse Datasets
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/tkde.2009.190openalex-snapshot
From t-Closeness-Like Privacy to Postrandomization via Information Theory
inferredcites →https://doi.org/10.1109/trustcom.2013.235openalex-snapshot
Combining Top-Down and Bottom-Up: Scalable Sub-tree Anonymization over Big Data Using MapReduce on Cloud
inferredcites →https://doi.org/10.1142/s0219622010003919openalex-snapshot
PRIVACY-PRESERVING SVD-BASED COLLABORATIVE FILTERING ON PARTITIONED DATA
inferredcites →https://doi.org/10.1145/1014052.1014153openalex-snapshot
Optimal randomization for privacy preserving data mining
inferredcites →https://doi.org/10.1145/1030083.1030105openalex-snapshot
k -anonymous secret handshakes with reusable credentials
inferredcites →https://doi.org/10.1145/1066157.1066163openalex-snapshot
Deriving private information from randomized data
inferredcites →https://doi.org/10.1145/1066157.1066208openalex-snapshot
Incremental maintenance of path-expression views
inferredcites →https://doi.org/10.1145/1081870.1081942openalex-snapshot
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data
inferredcites →https://doi.org/10.1145/1141277.1141415openalex-snapshot
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
inferredcites →https://doi.org/10.1145/1386118.1386123openalex-snapshot
Workload-aware anonymization techniques for large-scale datasets
inferredcites →https://doi.org/10.1145/1798596.1798602openalex-snapshot
Achieving anonymity via clustering
inferredcites →https://doi.org/10.1145/375551.375602openalex-snapshot
On the design and quantification of privacy preserving data mining algorithms
inferredcites →https://doi.org/10.1145/772862.772869openalex-snapshot
Randomization in privacy preserving data mining
inferredcites →https://doi.org/10.1145/775047.775089openalex-snapshot
Transforming data to satisfy privacy constraints
inferredcites →https://doi.org/10.1145/775047.775142openalex-snapshot
Privacy preserving association rule mining in vertically partitioned data
inferredcites →https://doi.org/10.1145/956750.956776openalex-snapshot
Privacy-preserving k -means clustering over vertically partitioned data
inferredcites →https://doi.org/10.1145/974121.974131openalex-snapshot
State-of-the-art in privacy preserving data mining
inferredcites →https://doi.org/10.1155/2019/2076542openalex-snapshot
D2D Big Data Privacy‐Preserving Framework Based on (a, k)‐Anonymity Model
inferredcites →https://doi.org/10.4018/978-1-59140-557-3.ch189openalex-snapshot
Secure Multiparty Computation for Privacy Preserving Data Mining
inferredcites →https://doi.org/10.5120/4883-7321openalex-snapshot
Privacy Preserving Association Rule Mining in Vertically Partitioned Databases
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781394302581.ch23openalex-snapshot
Bibliometric Insights into the Nexus of Digital HR, Innovation, and Sustainability
inferred← citeshttps://doi.org/10.1002/cpe.7020openalex-snapshot
(k, m, t)‐anonymity: Enhanced privacy for transactional data
inferred← citeshttps://doi.org/10.1002/widm.1515openalex-snapshot
Machine learning and blockchain technologies for cybersecurity in connected vehicles
inferred← citeshttps://doi.org/10.1007/s10207-024-00939-4openalex-snapshot
Challenges and future research directions in secure multi-party computation for resource-constrained devices and large-scale computations
inferred← citeshttps://doi.org/10.1007/s11042-023-18035-5openalex-snapshot
Applying data science approach to predicting diseases and recommending drugs in healthcare using machine learning models – A cardio disease case study
inferred← citeshttps://doi.org/10.1007/s40745-024-00521-8openalex-snapshot
Optimal Key Generation for Privacy Preservation in Big Data Applications Based on the Marine Predator Whale Optimization Algorithm
inferred← citeshttps://doi.org/10.1016/b978-0-443-27444-2.00004-6openalex-snapshot
Smart healthcare: Setting the new norm moving forward
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103263openalex-snapshot
AFPr-AM: A novel Fuzzy-AHP based privacy risk assessment model for strategic information management of social media platforms
inferred← citeshttps://doi.org/10.1016/j.ins.2022.09.004openalex-snapshot
A decision-support framework for data anonymization with application to machine learning processes
inferred← citeshttps://doi.org/10.1016/j.jiixd.2024.01.003openalex-snapshot
Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey
inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108016openalex-snapshot
Adaptive metric for knowledge distillation by deep Bregman divergence
inferred← citeshttps://doi.org/10.1016/j.seta.2022.102152openalex-snapshot
Anonymization of distribution feeder data using statistical distribution and parameter estimation approach
inferred← citeshttps://doi.org/10.1016/j.vrih.2022.01.007openalex-snapshot
Privacy-preserving deep learning techniques for wearable sensor-based big data applications
inferred← citeshttps://doi.org/10.1038/s41598-026-48255-2openalex-snapshot
Extending homomorphic algorithms for encrypted text comparison
inferred← citeshttps://doi.org/10.1063/5.0212743openalex-snapshot
Integrated approach for healthcare data protection and security: A survey
inferred← citeshttps://doi.org/10.1080/08874417.2023.2176946openalex-snapshot
Systematic Survey: Secure and Privacy-Preserving Big Data Analytics in Cloud
inferred← citeshttps://doi.org/10.1109/access.2021.3070905openalex-snapshot
IoT and Big Data Applications in Smart Cities: Recent Advances, Challenges, and Critical Issues
inferred← citeshttps://doi.org/10.1109/access.2023.3302262openalex-snapshot
Comprehensive Review on Development of Smart Cities Using Industry 4.0 Technologies
inferred← citeshttps://doi.org/10.1109/acroset62108.2024.10743362openalex-snapshot
Privacy Preserving Techniques in Data Science : A Review
inferred← citeshttps://doi.org/10.1109/dsit61374.2024.10881578openalex-snapshot
Bibliometric Analysis: Research Trends of Privacy in Big Data and its Applications
inferred← citeshttps://doi.org/10.1109/iccst59048.2023.10726843openalex-snapshot
A New Wave in HDFS Data Security: Merging AES & MapReduce for Efficient Data Encryption
inferred← citeshttps://doi.org/10.1109/icsip52628.2021.9688624openalex-snapshot
A Review on Privacy-Preserving Techniques in Data Analytics
inferred← citeshttps://doi.org/10.1109/jiot.2024.3353727openalex-snapshot
Privacy-Preserving and Secure Industrial Big Data Analytics: A Survey and the Research Framework
inferred← citeshttps://doi.org/10.1109/metroxraine66377.2025.11340302openalex-snapshot
Trade-Off Evaluation Between Privacy and Data Utility Through the Application of Fully Homomorphic Encryption During ML Models Training for Classifying Misogyny Content
inferred← citeshttps://doi.org/10.1109/nmitcon58196.2023.10276318openalex-snapshot
Developing a Smart Healthy City Using Twitter Big Data by Modified Deep Belief Network
inferred← citeshttps://doi.org/10.1109/prai67447.2025.11412572openalex-snapshot
Privacy-Preserving Computing Architecture for Secure Big Data Processing in Distributed Environments
inferred← citeshttps://doi.org/10.1109/tce.2026.3666348openalex-snapshot
FedBPG: Balancing Generalization and Personalization in Federated Learning for Consumer Electronics
inferred← citeshttps://doi.org/10.1145/3675585.3675589openalex-snapshot
Role of Big Data Analytics in Audit Quality using IS Success Model as a Basis
inferred← citeshttps://doi.org/10.1186/s40537-022-00566-7openalex-snapshot
Social network data analysis to highlight privacy threats in sharing data
inferred← citeshttps://doi.org/10.25159/2663-659x/8361openalex-snapshot
Relevance of Big Data Analytics in Nigerian Academic Libraries: University of Ilorin Library Experience
inferred← citeshttps://doi.org/10.31585/jbba-8-2-(4)2025openalex-snapshot
Blockchain-Enhanced Privacy and Security in Electronic Health Records: A Scalable Framework for Decentralised Data Management
inferred← citeshttps://doi.org/10.3233/web-230027openalex-snapshot
Analyzing the role of big data and its effects on the retail industry
inferred← citeshttps://doi.org/10.3390/app112210686openalex-snapshot
Multilevel Privacy Assurance Evaluation of Healthcare Metadata
inferred← citeshttps://doi.org/10.3390/e24040519openalex-snapshot
Towards Secure Big Data Analysis via Fully Homomorphic Encryption Algorithms
inferred← citeshttps://doi.org/10.3837/tiis.2023.08.007openalex-snapshot
Reliable blockchain-based ring signature protocol for online financial transactions
inferred← citeshttps://doi.org/10.4018/979-8-3693-7210-4.ch006openalex-snapshot
Machine Learning in Medicine
inferred← citeshttps://doi.org/10.52783/jes.2550openalex-snapshot
Zero-Trust Cryptographic Protocols and Differential Privacy Techniques for Scalable Secure Multi-Party Computation in Big Data Analytics
inferred← citeshttps://doi.org/10.5772/intechopen.99224openalex-snapshot
Privacy Preserving Data Mining
inferred← citeshttps://doi.org/10.61978/data.v3i1.921openalex-snapshot
Deploying Differential Privacy in Emerging Economies: Evidence from Indonesia’s Digital Commerce Sector
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