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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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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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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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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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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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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#BeSeen: understanding young people’s views of the motivation and impacts of sharing self-harm imagery online and use of their social media data for research—a UK participatory art... by Ann John, Ashrafunnesa Khanom, Todd Smith, Amanda Marchant, Dana Dekel, Harley Morgan, Sarah Tombs, Karen Ingham

“…Participants from the RAS group were more inclined to agree to their data being used and had higher levels of trust in government.Conclusion Young people care about their privacy and use of their data even when it is publicly available. …”
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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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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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Data Governance Navigation for Advanced Operations in Healthcare Excellence by Vahideh Zarea Gavgani, Aniseh Pourrasmi

“…Developments in medical data analysis bring important social benefits but also challenge privacy and other ethical values. …”
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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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THE SECURITY OF PERSONAL DATA IN EUROPEAN UNION SINCE 2018 by Dariusz Brążkiewicz

“…Intensive development of information technology in the early 21st century means that citizens’ personal data is constantly processed using increasingly advanced digital technologies. …”
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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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Enhanced federated learning for secure medical data collaboration by Benjamin Appiah, Isaac Osei, Bill K. Frimpong, Daniel Commey, Kwabena Owusu-Agymang, Gabriel Assamah

“…Abstract Federated learning (FL) enables collaborative model training across multiple institutions while preserving data privacy. However, conventional encryption techniques used in FL remain vulnerable to quantum attacks, raising concerns about the security of model update transmissions. …”
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Balancing Risks and Opportunities: Data-Empowered-Health Ecosystems by Lan Li, Emma Back, Suna Lee, Rebecca Shipley, Néo Mapitse, Stefan Elbe, Melanie Smallman, James Wilson, Ifat Yasin, Geraint Rees, Ben Gordon, Virginia Murray, Stephen L Roberts, Anna Cupani, Patty Kostkova

“…This paper argues that reframing health care data as a common good, improving the transparency of data acquisition and processing, and promoting the use of application programming interfaces (APIs) for real-time data access are essential to overcoming these challenges. …”
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Private Data Leakage in Federated Contrastive Learning Networks by Kongyang Chen, Wenfeng Wang, Zixin Wang, Yao Huang, Yatie Xiao, Wangjun Zhang, Zhipeng Li, Zhefei Guo, Zhucheng Luo, Lin Yin, Haiyan Mai, Xiaoying Wang, Qintai Yang

“…Generally, Federated Contrastive Learning (FCL) represents an emerging approach for learning from decentralized unlabeled data while upholding data privacy. In FCL, participant clients collaborate in learning a global encoder using unlabeled data, which can serve as a versatile feature extractor for diverse downstream tasks. …”
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Promoting Awareness of Data Confidentiality and Security During the COVID-19 Pandemic in a Low-Income Country—Sierra Leone by Joseph Sam Kanu, Mohamed A. Vandi, Brima Bangura, Katherine Draper, Yelena Gorina, Monique A. Foster, Jadnah D. Harding, Eric N. Ikoona, Amara Jambai, Mohamed A. M. Kamara, Daniel Kaitibi, Daphne B. Moffett, Tushar Singh, John T. Redd

“…ObjectivesWorld Health Organization issued Joint Statement on Data Protection and Privacy in the COVID-19 Response stating that collection of vast amounts of personal data may potentially lead to the infringement of fundamental human rights and freedoms. …”
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Best practices for clinical trials data harmonization and sharing on NHLBI bioData catalyst (BDC) learned from CONNECTS network COVID-19 studies by Jeran K. Stratford, Huaqin Helen Pan, Alex Mainor, Edvin Music, Joshua Froess, Alex C. Cheng, Alexandra Weissman, David T. Huang, Elizabeth C. Oelsner, Sonia M. Thomas

“…Responsible data-sharing requires addressing challenges associated with data privacy and confidentiality, data linkage, data quality, variable harmonization, data formats, and comprehensive metadata documentation to produce a high-quality, contextually rich, findable, accessible, interoperable, and reusable (FAIR) dataset. …”
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