Enhancing privacy in IoT-based healthcare using provable partitioned secure blockchain principle and encryption by C. S. Madhumathi, K. Vishnu Kumar

“…Data sharing is a significant concern in healthcare because of privacy leakage and security issues. …”
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Enhancing privacy and traceability of public health insurance claim system using blockchain technology by Andry Alamsyah, I. Putu Sadhu Setiawan

“…However, this extensive coverage raises substantial concerns about data privacy and traceability, particularly during the claim process, as policyholders currently have limited control over and insight into how their data is accessed and used.MethodsTo address these challenges, we propose a blockchain-based model designed to enhance policyholders’ private control over data access and improve traceability throughout the NHI claim process. …”
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Ethical Dilemmas and Coping Strategies in the Use of Psychological Scales in the Era of Big Data by Lirong LIU, Yanan ZHENG

“…Focusing on the ethical risks arising from the reconstruction of psychological scales due to innovations in big data technology, a systematic analysis is conducted on the research and current use of psychological scales within the context of big data. …”
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Secondary use under the European Health Data Space: setting the scene and towards a research agenda on privacy-enhancing technologies by Sarah van Drumpt, Kartik Chawla, Tom Barbereau, Dayana Spagnuelo, Linda van de Burgwal

Subjects: “…European Health Data Space…”
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Privacy-Preserving Rule Induction Using CKKS by Jihyeon Choi, Jina Choi, Younho Lee, Jung-Sik Hong

“…This study introduces a new approach called homomorphic encryption-based rule induction (HORI) algorithm, designed specifically for scenarios where data confidentiality is critical. This method is constructed using CKKS homomorphic encryption to make it work with encrypted data, thereby enhancing the privacy of both training data and the input for inference. …”
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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…Abstract The exponential growth of Big Data in healthcare, particularly in AI-driven medical diagnostics, has raised critical concerns about data privacy in medical image classification. …”
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Knowledge Distillation for Face Recognition Using Synthetic Data With Dynamic Latent Sampling by Hatef Otroshi Shahreza, Anjith George, Sebastien Marcel

“…We propose a new framework (called SynthDistill) to train lightweight face recognition models by distilling the knowledge from a pretrained teacher model using synthetic data. We generate synthetic face images without identity labels, mitigating the problems in the intra-class variation generation of synthetic datasets, and dynamically sample from the intermediate latent space of a face generator network to generate new variations of the challenging images while further exploring new face images. …”
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Safer interaction with IVAs: The impact of privacy literacy training on competent use of intelligent voice assistants by André Markus, Maximilian Baumann, Jan Pfister, Astrid Carolus, Andreas Hotho, Carolin Wienrich

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Evaluating the Impact of Artificial Intelligence Tools on Enhancing Student Academic Performance: Efficacy Amidst Security and Privacy Concerns by Jwern Tick Kiet Phua, Han-Foon Neo, Chuan-Chin Teo

“…This research investigates the perceptions and attitudes of students towards the use of AI tools in their academic activities, focusing on constructs such as perceived usefulness, the perceived ease of use, security and privacy concerns, and both positive and negative attitudes towards AI. …”
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Unique Method for Prognosis of Risk of Depressive Episodes Using Novel Measures to Model Uncertainty Under Data Privacy by Barbara Pękala, Dawid Kosior, Wojciech Rząsa, Katarzyna Garwol, Janusz Czuma

“…The computer support system designed for that purpose combines data privacy protection from various sources and uncertainty modeling, especially for incomplete data. …”
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A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…Additionally, it also has patient data-privacy concerns leading to anonymous information generalization, regulatory compliance issues, and data leakage challenges. …”
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Using UMAP for Partially Synthetic Healthcare Tabular Data Generation and Validation by Carla Lázaro, Cecilio Angulo

“…The proposed method is validated on prostate and breast cancer data sets, showing its effectiveness in completing and augmenting incomplete data sets using fully available references. …”
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Privacy-Aware Detection for Large Language Models Using a Hybrid BiLSTM-HMM Approach by Maryam Abbasalizadeh, Sashank Narain

“…However, their deployment introduces significant privacy concerns, including the memorization and unintended disclosure of sensitive data. …”
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Private detection of relatives in forensic genomics using homomorphic encryption by Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota

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Dynamic Cohort Formation with Hierarchical Blockchain Using GDP for Enhanced FL by Sunila Fatima Ahmad, Zahra Abbas, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

“…In addition, Gaussian Differential Privacy (GDP) is used as a privacy-preserving mechanism that adds controlled noise to the data or model updates to protect individual data points from being inferred by adversaries. …”
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A decentralized privacy-preserving XR system for 3D medical data visualization using hybrid biometric cryptosystem by Shreyansh Sharma, Debasis Das, Santanu Chaudhury

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Federated LeViT-ResUNet for Scalable and Privacy-Preserving Agricultural Monitoring Using Drone and Internet of Things Data by Mohammad Aldossary, Jaber Almutairi, Ibrahim Alzamil

“…New drone photography and IoT sensors offer quick, high-resolution, multimodal agricultural data collecting. Regional diversity, data heterogeneity, and privacy problems make it hard to conclude these data. …”
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Enhancing Data Privacy Protection and Feature Extraction in Secure Computing Using a Hash Tree and Skip Attention Mechanism by Zizhe Zhou, Yaqi Wang, Lin Cong, Yujing Song, Tianyue Li, Meishu Li, Keyi Xu, Chunli Lv

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Using the Ethereum Blockchain in the Internet of Things Network for IT Diagnostics by U. A. Vishniakou, YiWei Xia, Chuyue Yu

“…The article discusses the use of Ethereum blockchain technology in the Internet of Things (IoT) network for IT diagnostics of patients, which increases data security and user privacy. …”
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Decentralized big data mining: federated learning for clustering youth tobacco use in India by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…By leveraging federated learning and differential privacy, this study demonstrates a privacy-preserving approach to analyzing large-scale public health data, providing a blueprint for future health interventions and tobacco control strategies in India and beyond.…”
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