Patient Confidentiality of Electronic Health Records: A Recent Review of the Saudi Literature by Nada Saddig Almaghrabi, Bussma Ahmed Bugis

“…Background Health systems harbor lucrative data that can be targeted for illegal access, thus posing a serious privacy breach. …”
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Edge Computing and Cloud Computing for Internet of Things: A Review by Francesco Cosimo Andriulo, Marco Fiore, Marina Mongiello, Emanuele Traversa, Vera Zizzo

“…These hybrid models optimize bandwidth use and support low-latency, privacy-sensitive applications in IoT ecosystems. …”
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Entropy-Based Human Activity Measure Using FMCW Radar by Hak-Hoon Lee, Hyun-Chool Shin

“…Existing activity measurement methods, such as gas analyzers, activity trackers, and camera-based systems, have limitations in accuracy, convenience, and privacy. To address these issues, this study proposes an improved activity estimation algorithm using a 60 GHz Frequency-Modulated Continuous-Wave (FMCW) radar. …”
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Using the Language of elite athletes to predict their personality and on court transgressions by Maor Daniel Levitin, Itamar Zan Ger, Ze’ev Sovik, Ariel Taieb, Lyle Ungar, Michael Gilead

“…These findings show that personality can predict individual choices and behaviors in specific contexts; furthermore, by assessing the degree to which our digital footprint can be used to derive actionable predictions of behavior, the current findings could inform discussions concerning regulations of data privacy.…”
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Attribute-based encryption schema with group signatures by Xinglan ZHANG, Yao CUI

“…Cipher text-policy attribute-based encryption schema(CP-ABE) is widely used in protection of sensitive data.In CP-ABE,When the users access the cipher text,the access structure and the cipher text were sent to the users.However,the access structure is also has private information which can lead to leak of the privacy.The group signatures were used in CP-ABE to realize protection of the privacy.What’s more,it can satisfy indistinguishable under the choice of plaintext attack.…”
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Synthetic ECG signal generation using generative neural networks. by Edmond Adib, Fatemeh Afghah, John J Prevost

“…Electrocardiogram (ECG) datasets tend to be highly imbalanced due to the scarcity of abnormal cases. Additionally, the use of real patients' ECGs is highly regulated due to privacy issues. …”
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Modelling Users` Trust in Online Social Networks by Iacob Cătoiu, Mihai Orzan, Octav-Ionuţ Macovei, Claudia Iconaru

“…We have adapted metrics for the purpose of our study and we have assessed their reliability and validity. We use a Partial Least Squares (PLS) based structural equation modelling analysis, which validated all our initial assumptions, indicating that our three predictors (privacy concerns, perceived benefits and perceived risks) explain 48% of the variation of users’ trust in online social networks, the resulting variable of our study. …”
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Explanations of news personalisation across countries and media types by Mariella Bastian, Mykola Makhortykh, Jaron Harambam, Max van Drunen

“…Yet, the technical implementation of news personalisation systems, in particular the one relying on algorithmic news recommenders (ANRs) and tailoring individual news suggestions with the help of user data, often remains opaque. In our article, we examine how news personalisation is used by quality and popular media in three countries with different media accountability infrastructures - Brazil, the Netherlands, and Russia - and investigate how information about personalisation usage is communicated to the news readers via privacy policies. …”
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Advancing personalized diagnosis and treatment using deep learning architecture by Rahat Ullah, Nadeem Sarwar, Mohammed Naif Alatawi, Abeer Abdullah Alsadhan, Hathal Salamah Alwageed, Maqbool Khan, Aitizaz Ali

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Towards Secure FinTech: A Survey, Taxonomy, and Open Research Challenges by Sobia Mehrban, Muhammad Waqas Nadeem, Muzammil Hussain, Mohammad Masroor Ahmed, Owais Hakeem, Shazia Saqib, M. L. Mat Kiah, Fakhar Abbas, Mujtaba Hassan, Muhammad Adnan Khan

“…The term does take into account various other sensitive issues, like, security, privacy, threats, cyber-attacks, etc. This is important to note that the development of FinTech is indebted to the mutual integration of different state of the art technologies, for example, technologies related to a mobile embedded system, mobile networks, mobile cloud computing, big data, data analytics techniques, and cloud computing etc. …”
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User consultation and the design of healing architecture in a cardiology department – ways to improve care for and well-being of patients and their relatives by Maja Forum Riisbøl, Connie Timmermann

“…Design: A mixed-method approach was used, based on user consultation, in order to inform the redecoration and redesign of the observation room. …”
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A Zero-Knowledge Proof-Enabled Blockchain-Based Academic Record Verification System by Juan Alamrio Berrios Moya, John Ayoade, Md Ashraf Uddin

“…We have used dual-blockchain, which separates public and private information, which can enhance both efficiency and privacy. …”
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Security and Market Liquidity Enhanced Transactive Energy System for Residential End Users by Vanga Anil, S. L. Arun

“…Security concerns include data integrity, authentication, confidentiality, scalability, and privacy, while economic challenges involve penalty reduction and market liquidity. …”
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Unveiling Digital Wallets Adoption in Developing countries: A Dual-Factor Approach of Enablers and Inhibitors Impacting User Intentions by Doaa Rasheed, Mohammed Alsalem, Odai Enaizan

“…Structural Equation Modeling (SEM) was employed for data analysis using AMOS software. The findings indicate that performance expectancy, effort expectancy, social influence, perceived privacy, perceived security, and trust all have a significant impact on the intention regarding the adoption of digital wallets.…”
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A survey on membership inference attacks and defenses in machine learning by Jun Niu, Peng Liu, Xiaoyan Zhu, Kuo Shen, Yuecong Wang, Haotian Chi, Yulong Shen, Xiaohong Jiang, Jianfeng Ma, Yuqing Zhang

“…Membership inference (MI) attacks mainly aim to infer whether a data record was used to train a target model or not. …”
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Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

“…The proposed framework provides a scalable and practical solution for using distributed aviation data while addressing both class imbalance and privacy concerns, contributing to improved safety and operational efficiency in the aviation industry.…”
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Sharing health data for research purposes: results of a population survey in Germany by Caroline Dotter, Sonja Haug, Rainer Schnell, Georgios Raptis, Karsten Weber

“…Abstract Background Increased use of health data has the potential to improve both health care and health policies. …”
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Comparison of Personal Data Protection Laws Indonesia and Thailand by wardah yuspin, Miranti Kusretno Tampawestri, Ridho Bawana Jati

“…The emergence the leakage of personal data realizes the protection of personal data is very important because it involves the concept of one’s privacy. …”
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Dying in Darkness: Deviations From Data Sharing Ethics in the US Public Health System and the Data Genocide of American Indian and Alaska Native Communities by Cason D Schmit, Meghan Curry O’Connell, Sarah Shewbrooks, Charles Abourezk, Fallon J Cochlin, Megan Doerr, Hye-Chung Kum

“…Good governance practices like transparent data practices and the establishment of a social license (ie, the informal permission of a community to collect and use data) is essential to ethically balancing collective well-being with individual privacy in public health.…”
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Reflection on High-Quality Development of Smart Health Data by Weixuan Wang, Shaomei Shang, Zhiwen Wang, Luxia Zhang, Lin Ma, Na Li, Junhui Wu, Xu Zhang, Lan Li, Qimin Zhan

“…The development of smart geriatric care data in China now faces challenges regarding fusion of multi-source heterogeneous data, data security and privacy, and data use ethics. …”
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