Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD. by Yannick Marcon, Tom Bishop, Demetris Avraam, Xavier Escriba-Montagut, Patricia Ryser-Welch, Stuart Wheater, Paul Burton, Juan R González

“…DataSHIELD uses Opal which is a data integration system used by epidemiological studies and developed by the OBiBa open source project in the domain of bioinformatics. …”
Get full text

Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms by V. Maheskumar, R. Vijayarajeswari

Get full text

THE USE OF HUMAN CHIP IMPLANTS FROM THE HADITH PERSPECTIVE by Vira Fharadillah, Muhammad Ghifari, Abil Ash

“…Chip implants are permitted for clear medical purposes that do not cause harm, while their use for non-medical purposes or those that potentially violate privacy and pose risks is prohibited in Islam. …”
Get full text

Enhancing privacy in clustering and data mining: A novel approach for sensitive data protection by Haythem Hayouni

“…However, these processes often involve the use of sensitive data, raising significant concerns about privacy, security, and trustworthiness. …”
Get full text

Right to privacy, Big Data and data protection: new challenges of the Colombian legal system by Dayron Dannylo Reyes Quintero, Margarita Rosa Lobo Contreras, Lucía Dayana Amaya Barbosa

“…Also, the perception and characteristics of Big Data are disclosed, trying to know how the rights involved in the materialization of the data analysis process can be protected; Finally, a critical sense is applied to the use of Big Data in modern political platforms, understanding the panorama for the Colombian legal system, which brings with it the probable violation of fundamental rights, such as personal privacy.…”
Get full text

Data structure and privacy protection analysis in big data environment based on blockchain technology by Yu Wang

Get full text

Comprehensive Review of Privacy, Utility, and Fairness Offered by Synthetic Data by A. Kiran, P. Rubini, S. Saravana Kumar

“…First and foremost, how well synthetic data can preserve privacy and control disclosure, second is how good is its utility, and third, are they able to give fair results without any bias when used in machine learning. …”
Get full text

Protecting Location Privacy for Outsourced Spatial Data in Cloud Storage by Feng Tian, Xiaolin Gui, Jian An, Pan Yang, Jianqiang Zhao, Xuejun Zhang

“…As a kind of spatial transformation method, Hilbert curve is widely used to protect the location privacy for spatial data. …”
Get full text

Fair payments for privacy-preserving aggregation of mobile crowdsensing data by Mallikarjun Reddy Dorsala, V.N. Sastry, Sudhakar Chapram

“…With the advent of mobile crowdsensing, the mobile devices equipped with a variety of sensors (such as accelerometer, gyroscope, microphone etc.) are used to collect sensory data. A data aggregator processes the collected sensor data to deliver various services such as traffic management, health care and environmental monitoring. …”
Get full text

Explaining the unexplainable: data sharing and privacy in Web 3.0 by Shim Jieun, Kim Jieun

“…This study leverages explainable AI (XAI) to analyze user privacy behaviors and other privacy attributes, using data from 682 individuals in Korea within a personalized app scenario. …”
Get full text

Hilbert-Curve Based Data Aggregation Scheme to Enforce Data Privacy and Data Integrity for Wireless Sensor Networks by Yong-Ki Kim, Hyunjo Lee, Min Yoon, Jae-Woo Chang

“…To minimize communication cost, we utilize a tree-based network structure for constructing networks and aggregating data. To preserve data privacy, we make use of both a seed exchange algorithm and Hilbert-curve based data encryption. …”
Get full text

A decentralized privacy-preserving framework for diabetic retinopathy detection using federated learning and blockchain by Omar Dib

“…Diabetic Retinopathy (DR) detection in distributed telemedicine environments requires secure, scalable, and privacy-preserving solutions. Traditional federated learning (FL) relies on a central server, raising concerns about data privacy and system trust. …”
Get full text

A Survey on Association Rule Hiding in Privacy Preserving Data Mining by Arezoo Hekmatyar, Naser Nematbakhsh, Mohammad Naderi Dehkordi

“…Data mining has been used as a public utility in extracting knowledge from databases during recent years. …”
Get full text

Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization by Dasari Bhulakshmi, Dharmendra Singh Rajput

“…FL enables collaborative learning across multiple decentralized devices while maintaining data privacy. FedDEO optimization enhances the model's performance by fine-tuning hyperparameters in a distributed manner. …”
Get full text

Aerial pathways to resilience: the acceptance of drones in logistics transformation by Sofia Gomes, João M. Lopes, Tiago Trancoso

“…This study examines the determinants of consumer acceptance of drone delivery services, focusing on the roles of perceived usefulness, ease of use, and privacy concerns. We collected data from 1,108 Portuguese consumers through an online survey to assess how these factors influence consumer attitudes and intentions toward adopting drone delivery services. …”
Get full text

Meta-analysis of privacy legal framework: revising the various approaches for balancing privacy risks and usability of healthcare information systems | Meta-analisi del quadro norm... by Matjaž Drev, Dalibor Stanimirović, Boštjan Delak

“…A proactive approach to managing these risks involves the use of privacy by design frameworks and conceptual tools. …”
Get full text

Wormhole Whispers: Reflecting User Privacy Data Boundaries Through Algorithm Visualization by Xiaoxiao Wang, Jingjing Zhang, Huize Wan, Yuan Yao

“…The primary contribution of this work is an innovative approach that uses metaphorical visual language to represent the flow of user data, algorithms, and information. …”
Get full text

Study on choosing the parameter ε in differential privacy by Xian-mang HE, Sean WANGX, Hua-hui CHEN, Yi-hong DONG

Get full text

Security and privacy within smart cities by Putnik Nenad R., Marković Jana M.

“…However, the use of new technologies has raised many questions and caused concerns about the way these technologies are used and the possibilities of misuse of collected data. …”
Get full text

A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…Limitations: Although the use of big data in academic research has made significant progress, there are still challenges regarding data quality, data cost, and user privacy concerns. …”
Get full text