Search Results - Privacy-Preserving Techniques for Data Analysis and Machine Learning

Collection and Analysis of Sensitive Data with Privacy Protection by a Distributed Randomized Response Protocol

Authors: Faisal Imran Rosa Meo

Source: Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing. :1415-1424

Subject Terms: Statistics and Probability, Alternative medicine, Information privacy, FOS: Health sciences, Diagnostic Methods for COVID-19 Detection, Estimator, 7. Clean energy, Artificial Intelligence, Computer security, Health Sciences, FOS: Mathematics, Pathology, Privacy protection, Randomized Response, Local Differential Privacy, Contingency Tables, Distributed computation protocol, Differential Privacy, Statistical Methods for Sensitive Survey Questions, Privacy Preservation, Computer network, Randomized Response Technique, Statistics, Privacy-Preserving Techniques for Data Analysis and Machine Learning, 16. Peace & justice, Computer science, Infectious Diseases, Computer Science, Physical Sciences, Protocol (science), Sensitive Questions, Medicine, Stratified Sampling, Randomized response, Mathematics

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Privacy-preserving data (stream) mining techniques and their impact on data mining accuracy: a systematic literature review

Authors: U. H. W. A. Hewage Roopak Sinha M. Asif Naeem

Source: Artificial Intelligence Review. 56:10427-10464

Subject Terms: 1702 Cognitive Sciences, Handling Imbalanced Data in Classification Problems, Epistemology, 02 engineering and technology, Data science, Cluster analysis, 46 Information and Computing Sciences, Artificial Intelligence, Strengths and weaknesses, Machine learning, 0801 Artificial Intelligence and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, 4604 Cybersecurity and Privacy, Artificial Intelligence & Image Processing, Differential Privacy, 10. No inequality, Data mining, Privacy Preservation, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Data stream mining, Crowdsourcing for Research and Data Collection, Computer science, Computer Science Applications, FOS: Philosophy, ethics and religion, Philosophy, 52 Psychology, Computer Science, Physical Sciences

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SHAPER: A General Architecture for Privacy-Preserving Primitives in Secure Machine Learning

Authors: Ziyuan Liang Qin Jin Zhiyong Wang et al.

Source: Transactions on Cryptographic Hardware and Embedded Systems, Vol 2024, Iss 2 (2024)

Subject Terms: FOS: Computer and information sciences, Secure Multi-party Computation, Computer engineering. Computer hardware, Artificial intelligence, Information technology, Privacy-Preserving Machine Learning, Security Challenges in Cloud Computing, 7. Clean energy, Searchable Encryption, Visual arts, TK7885-7895, Artificial Intelligence, Computer security, Architecture, Secure Computation, Human–computer interaction, Advanced Cryptographic Schemes and Protocols, Multi-Party Computation, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Additive Homomorphic Encryption, Hardware Accelerator, T58.5-58.64, Computer science, Computer Science, Physical Sciences, Privacy-Preserving Computation, Homomorphic Encryption, FOS: Civil engineering, Art, Information Systems

Access URL: https://doaj.org/article/1a0d06d407194293903d7dae54231b8c

Handling of Personal Data by Smart Home Equipment: an Exploratory Analysis in the Context of LGPD

Authors: Thiago Adriano Coleti Renato Balancieri André Menolli et al.

Source: Journal on Interactive Systems, Vol 15, Iss 1 (2024)

Subject Terms: Smart Home, Computer engineering. Computer hardware, Sociology and Political Science, Social Sciences, 02 engineering and technology, 7. Clean energy, Privacy and Security, Data science, TK7885-7895, QA76.75-76.765, Context (archaeology), Exploratory data analysis, Artificial Intelligence, Personal Data, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Computer software, Data mining, 2. Zero hunger, Geography, 05 social sciences, Privacy-Preserving Techniques for Data Analysis and Machine Learning, 1. No poverty, 16. Peace & justice, Computer science, Exploratory analysis, Archaeology, Computer Science, Physical Sciences, 0503 education, Internet Users' Information Privacy Concerns, General Data Protection Regulation

Access URL: https://doaj.org/article/e26728363be642bb8b95cf7a660e598c

Optimization algorithms in security and privacy-preserving data disturbance for collaborative edge computing social IoT deep learning architectures

Authors: Mythili Boopathi Sachin Kumar Gupta Mohammed Zabeeulla A N et al.

Source: Soft Computing.

Subject Terms: Computer network, Artificial intelligence, IoT Security, Internet of Things and Edge Computing, Computer Networks and Communications, Internet of Things, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Security and Privacy, Encryption, Edge computing, Network security, Computer science, Distributed computing, Mobile Edge Computing, Enhanced Data Rates for GSM Evolution, Operating system, Artificial Intelligence, Computer security, Computer Science, Physical Sciences, Network Intrusion Detection and Defense Mechanisms, Edge Computing, Cloud computing, Secure Computation

Blockchain and Data Integrity Authentication Technique for Secure Cloud Environment

Authors: A. Ramachandran Punyala Ramadevi Ahmed Alkhayyat et al.

Source: Intelligent Automation & Soft Computing. 36:2055-2070

Subject Terms: FOS: Computer and information sciences, Cloud storage, Computer network, Blockchain and Internet of Things Integration, Privacy-Preserving Techniques for Data Analysis and Machine Learning, 1. No poverty, Upload, Security Challenges in Cloud Computing, Cloud Computing, Computer science, Overhead (engineering), Operating system, Blockchain, Artificial Intelligence, Authentication (law), Computer security, Data integrity, Computer Science, Physical Sciences, Cloud computing security, Cloud computing, Information Systems, Secure Computation

A Probabilistic Approach for Missing Data Imputation

Authors: Muhammed Nazmul Arefin Abdul Kadar Muhammad Masum

Source: Complexity, Vol 2024 (2024)

Subject Terms: Statistics and Probability, Artificial intelligence, Missing data, 0206 medical engineering, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Multiple Imputation, QA75.5-76.95, 02 engineering and technology, Regularization and Variable Selection Methods, Computer science, Big data, Methods for Handling Missing Data in Statistical Analysis, Artificial Intelligence, Electronic computers. Computer science, Computer Science, Physical Sciences, Machine learning, 8. Economic growth, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Imputation (statistics), Data mining, Mathematics, Probabilistic logic

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Access URL: https://doaj.org/article/6dca6583d7f840dc9ac8aed70ac23714

Privacy Preserving Attribute-Focused Anonymization Scheme for Healthcare Data Publishing

Authors: J. Andrew J. Karthikeyan Jennifer Eunice et al.

Source: IEEE Access, Vol 10, Pp 86979-86997 (2022)

Subject Terms: Alternative medicine, Sociology and Political Science, Economics, Information privacy, FOS: Political science, Social Sciences, Anonymization, k-anonymity, 02 engineering and technology, Computer security, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Differential Privacy, Political science, Privacy Preservation, Information sharing, Privacy-Preserving Techniques for Data Analysis and Machine Learning, 3. Good health, World Wide Web, Physical Sciences, Medicine, Electrical engineering. Electronics. Nuclear engineering, Internet Users' Information Privacy Concerns, Safety Research, Categorical variable, privacy-preserving, FOS: Law, Mathematical analysis, Artificial Intelligence, Data publishing, Data anonymization, Machine learning, FOS: Mathematics, Data mining, Economic growth, Scheme (mathematics), Publishing, data privacy, data publishing, 9. Industry and infrastructure, Data Privacy, Ethical Implications of Artificial Intelligence, Health care, healthcare data, Privacy Concerns, Computer science, TK1-9971, Computer Science, Cryptography, Data sharing, Law, Slicing, Mathematics

Access URL: https://doaj.org/article/115667d2ef974c0999370f0491820abf

Privacy Preserving Inference for Deep Neural Networks: Optimizing Homomorphic Encryption for Efficient and Secure Classification

Authors: Aftab Akram Fawad Khan Shahzaib Tahir et al.

Source: IEEE Access, Vol 12, Pp 15684-15695 (2024)

Subject Terms: Artificial neural network, Artificial intelligence, Information privacy, Combinatorial Optimization and Complexity Theory, homomorphic encryption, Encryption, Convolutional neural network, cloud server, MNIST database, Inference, Artificial Intelligence, Computer security, Machine learning, Cloud computing, activation function, Differential Privacy, Data mining, Secure Computation, Privacy Preservation, Advanced Cryptographic Schemes and Protocols, Privacy-Preserving Techniques for Data Analysis and Machine Learning, security and privacy, approximation techniques, 16. Peace & justice, Computer science, Homomorphic encryption, TK1-9971, Operating system, Computational Theory and Mathematics, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Privacy-Preserving Computation, Homomorphic Encryption

Access URL: https://doaj.org/article/503e72ca482f4492baa13e4ac604e156

Improving Privacy-preserving Healthcare Data Sharing in a Cloud Environment Using Hybrid Encryption

Authors: Insaf Boumezbeur Karim Zarour

Source: Acta Informatica Pragensia, Vol 11, Iss 3, Pp 361-379 (2022)

Subject Terms: FOS: Computer and information sciences, Secure Multi-party Computation, Alternative medicine, FOS: Political science, Encryption, FOS: Law, 02 engineering and technology, Security Challenges in Cloud Computing, privacy, 7. Clean energy, Artificial Intelligence, Computer security, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Cloud computing, Differential Privacy, Political science, encryption, Data Storage, Advanced Cryptographic Schemes and Protocols, cloud computing, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Health care, healthcare, QA75.5-76.95, Cloud Computing, confidentiality, Computer science, 3. Good health, Operating system, Privacy, Electronic computers. Computer science, Computer Science, Physical Sciences, Internet privacy, Medicine, Data sharing, Law, Information Systems

Access URL: https://doaj.org/article/427994e85d1343ed8651167a4aef10c7

APPLICATION OF PRIVACY-PRESERVING DATA PUBLISHING IN TERTIARY INSTITUTIONS OF KEBBI STATE USING GENERALIZATION AND SUPPRESSION

Authors: Anas Shehu Alhassan Salihu Abubakar Sani

Source: Journal of Engineering Science (Chişinău), Vol XXIX, Iss 3, Pp 59-69 (2022)
Journal of Engineering Sciences (3) 59-69

Subject Terms: k-anonimitate, Data Quality Assessment and Improvement, Sociology and Political Science, Information privacy, FOS: Political science, Social Sciences, calitate, k-anonymity, Decision Sciences, Computer security, Differential Privacy, Law enforcement, 10. No inequality, Political science, k-Anonymity, 4. Education, utilitate, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Engineering (General). Civil engineering (General), 16. Peace & justice, Quality, dakin-gari, Privacy, quality, Physical Sciences, 8. Economic growth, Internet privacy, Arx, TA1-2040, Anonymity, Internet Users' Information Privacy Concerns, Confidentiality, Enforcement, Dakin-gari, FOS: Law, Management Science and Operations Research, privacy, Arx de-anonymization tool, Artificial Intelligence, Data publishing, Privacy Preserving, Publishing, instrument de dezanonimizare, arx de-anonymization tool, Data Privacy, Privacy Concerns, QA75.5-76.95, Computer science, confidenţialitate, utility, Electronic computers. Computer science, Computer Science, Law

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Access URL: https://doaj.org/article/e2ef8a3ab1ef46c1b70dee6dbb040003
https://doi.org/10.52326/jes.utm.2022.29(3).05
https://ibn.idsi.md/vizualizare_articol/165783

From Barriers to Boosters: Optimizing Open Government Data through Publishing Guidelines and Data Protection Strategies

Authors: Khadidja Bouchelouche Abdessamedréda Ghomari Leila Zemmouchi-Ghomari

Source: Recent Research Reviews Journal. 3:56-69

Subject Terms: Data Quality Assessment and Improvement, Metric (unit), FOS: Political science, Social Sciences, FOS: Law, Management Science and Operations Research, Data management, Decision Sciences, Data science, Database, FOS: Economics and business, Open government, Artificial Intelligence, Evolution and Impact of E-Government Initiatives, Open Data, Data publishing, 11. Sustainability, Government (linguistics), Business, Political science, Semantic Web, Publishing, Marketing, Discoverability, Linked data, Open data, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Data quality, 1. No poverty, Linguistics, 15. Life on land, Data governance, 16. Peace & justice, Computer science, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, 13. Climate action, Computer Science, Physical Sciences, Political Science and International Relations, FOS: Languages and literature, Law

Convergence of Blockchain, k-medoids and homomorphic encryption for privacy preserving biomedical data classification

Authors: Shamima Akter Farhana Reza Manik Ahmed

Source: Internet of Things and Cyber-Physical Systems, Vol 2, Iss, Pp 99-110 (2022)

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Information privacy, Encryption, 02 engineering and technology, 7. Clean energy, Blockchain, Cluster analysis, k − Medoids, Artificial Intelligence, Computer security, Privacy-preserving, 0202 electrical engineering, electronic engineering, information engineering, Differential Privacy, Medoid, Data mining, k-Anonymity, Asymmetric encryption, Blockchain and Internet of Things Integration, Privacy-Preserving Techniques for Data Analysis and Machine Learning, QA75.5-76.95, Computer science, Biomedical data, Homomorphic encryption, 3. Good health, Privacy, Electronic computers. Computer science, Internet of medical things, Computer Science, Physical Sciences, Cryptography, Information Systems

Access URL: https://doaj.org/article/33ec56e8e6bd40adad70aaea717d4804

Privacy Preserving Data Mining Framework for Negative Association Rules: An Application to Healthcare Informatics

Authors: Saad M. Darwish Reham M. Essa Mahmoud M. Osman et al.

Source: IEEE Access, Vol 10, Pp 76268-76280 (2022)

Subject Terms: FOS: Computer and information sciences, Economics, Information privacy, Handling Imbalanced Data in Classification Problems, 02 engineering and technology, Data science, Artificial Intelligence, Computer security, Data Mining Techniques and Applications, Privacy-preserving data mining, 0202 electrical engineering, electronic engineering, information engineering, Data mining, Economic growth, Association rule learning, Imbalanced Data, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Health care, healthcare data, Computer science, TK1-9971, 3. Good health, evolutionary computation, sanitization process, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Information sensitivity, Information Systems

Access URL: https://doaj.org/article/88f0183a18db47d88df4dd7a61aa2543

A Privacy-Preserving Federated Learning Framework for Blockchain Networks

Authors: Youssif Abuzied Mohamed Ghanem Fadi Dawoud et al.

Source: Cluster Computing. 27:3997-4014

Subject Terms: FOS: Computer and information sciences, Computer network, Advanced Cryptographic Schemes and Protocols, 9. Industry and infrastructure, 4. Education, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Blockchain and Internet of Things Integration, Federated learning, Lattice-based Cryptography, 02 engineering and technology, Computer science, 7. Clean energy, Searchable Encryption, Distributed computing, Blockchain, Artificial Intelligence, Computer security, Computer Science, Physical Sciences, 0202 electrical engineering, electronic engineering, information engineering, Privacy-Preserving Computation, 10. No inequality, Federated Learning, Information Systems

f-Slip: an efficient privacy-preserving data publishing framework for 1:M microdata with multiple sensitive attributes

Authors: J. Jayapradha M. Prakash

Source: Soft Computing. 26:13019-13036

Subject Terms: Data Quality Assessment and Improvement, Artificial intelligence, Sociology and Political Science, Identifier, Information privacy, FOS: Political science, Anonymization, Social Sciences, k-anonymity, 02 engineering and technology, 7. Clean energy, Decision Sciences, Engineering, Sociology, 5. Gender equality, Data Cleaning, Computer security, 0202 electrical engineering, electronic engineering, information engineering, Differential Privacy, 10. No inequality, Political science, Privacy Preservation, Computer network, Advanced Cryptographic Schemes and Protocols, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Microdata (statistics), 16. Peace & justice, Correlation, FOS: Sociology, 3. Good health, World Wide Web, Aerospace engineering, Physical Sciences, Privacy-Preserving Computation, Internet Users' Information Privacy Concerns, Secure Multi-party Computation, Census, Population, Geometry, FOS: Law, Management Science and Operations Research, Information loss, Artificial Intelligence, Data anonymization, Data publishing, FOS: Mathematics, Privacy protection, Information retrieval, Privacy Preserving, Data mining, Demography, Publishing, Data Privacy, Privacy Concerns, Computer science, Unique identifier, Computer Science, Slip (aerodynamics), Law, Slicing, Mathematics

Access URL: https://www.researchsquare.com/article/rs-660451/latest.pdf
https://www.researchsquare.com/article/rs-660451/v1.pdf
https://www.researchsquare.com/article/rs-660451/v1.pdf
https://link.springer.com/article/10.1007/s00500-021-06275-2
https://www.researchsquare.com/article/rs-660451/v1

Towards Privacy Preserving Micro-data Analysis: A machine learning based perspective under prevailing privacy regulations

Authors: Senavirathne, Navoda Torra, Vicenç Riveiro, Maria et al.

Contributors: Senavirathne, Navoda Torra, Vicenç Riveiro, Maria et al.

Source: Dissertation Series.

Subject Terms: Data anonymization, data privacy, privacy-preserving machine learning, privacy preserving data publishing, personal data protection, Skövde Artificial Intelligence Lab (SAIL)

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20714
https://his.diva-portal.org/smash/get/diva2:1613754/FULLTEXT01.pdf

ABAFOR: A Blockchain-based Privacy-Preserving Architecture for Efficient Contact Tracing and GIS Analysis

Authors: Syed Ibtisam Tauhidi Abdullahi Abubakar Abdulhakeem Ishola et al.

Source: European Journal of Electrical Engineering and Computer Science. 6:88-102

Subject Terms: FOS: Computer and information sciences, Sociology and Political Science, Social Sciences, Anonymization, Encryption, Infectious disease (medical specialty), 02 engineering and technology, 7. Clean energy, Role of Digital Technologies in Pandemic Contact Tracing, Blockchain, Tracing, Contact tracing, Artificial Intelligence, Computer security, Architecture, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Disease, Key (lock), Contact Tracing Apps, 2. Zero hunger, Geography, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Privacy Concerns, Interoperability, 16. Peace & justice, Computer science, 3. Good health, World Wide Web, Coronavirus disease 2019 (COVID-19), Operating system, Archaeology, Computer Science, Physical Sciences, Internet privacy, Medicine, Internet Users' Information Privacy Concerns, FOS: Civil engineering, Information Systems

Heap Bucketization Anonymity—An Efficient Privacy-Preserving Data Publishing Model for Multiple Sensitive Attributes

Authors: J. Jayapradha M. Prakash Youseef Alotaibi et al.

Source: IEEE Access. 10:28773-28791

Subject Terms: Identifier, Information privacy, FOS: Political science, Anonymization, Health Informatics, k-anonymity, FOS: Law, 02 engineering and technology, Artificial Intelligence, Computer security, Data publishing, Data anonymization, Health Sciences, 0202 electrical engineering, electronic engineering, information engineering, Differential Privacy, Data mining, Political science, k-Anonymity, Artificial Intelligence in Medicine, Publishing, Computer network, Advanced Cryptographic Schemes and Protocols, Privacy-Preserving Techniques for Data Analysis and Machine Learning, 16. Peace & justice, Computer science, 3. Good health, Algorithm, Computer Science, Physical Sciences, Heap (data structure), Medicine, Privacy-Preserving Computation, Anonymity, Law

A Systematic Review on Federated Learning in Medical Image Analysis

Authors: Md Fahimuzzman Sohan Anas Basalamah

Source: IEEE Access, Vol 11, Pp 28628-28644 (2023)

Subject Terms: Radiology, Nuclear Medicine and Imaging, MEDLINE, FOS: Political science, Federated learning, Health Informatics, FOS: Law, 7. Clean energy, Data science, Artificial Intelligence, Field (mathematics), Health Sciences, FOS: Mathematics, Information retrieval, 10. No inequality, Political science, Artificial Intelligence in Medicine, data privacy, 4. Education, systematic literature review, Privacy-Preserving Techniques for Data Analysis and Machine Learning, Pure mathematics, Applications of Deep Learning in Medical Imaging, Computer science, TK1-9971, 3. Good health, machine learning, Computer Science, Physical Sciences, Systematic review, Medicine, Electrical engineering. Electronics. Nuclear engineering, medical image analysis, Federated Learning, Law, Mathematics

Access URL: https://doaj.org/article/c9cface4cdd94ac7a3462fda886507ac