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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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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A High-performance NTT/MSM Accelerator for Zero-knowledge Proof Using Load-balanced Fully-pipelined Montgomery Multiplier by Xiangren Chen, Bohan Yang, Wenping Zhu, Hanning Wang, Qichao Tao, Shuying Yin, Min Zhu, Shaojun Wei, Leibo Liu

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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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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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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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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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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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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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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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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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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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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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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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Generative AI in Improving Personalized Patient Care Plans: Opportunities and Barriers Towards Its Wider Adoption by Mirza Mansoor Baig, Chris Hobson, Hamid GholamHosseini, Ehsan Ullah, Shereen Afifi

“…The selection criteria were based on the inclusion of studies that report on the opportunities and challenges in improving PPCPs using Gen AI. We found that a holistic approach is required involving strategy, communications, integrations, and collaboration between AI developers, healthcare professionals, regulatory bodies, and patients. …”
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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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