Blockchain framework with IoT device using federated learning for sustainable healthcare systems by B. Bhasker, P. Muralidhara Rao, P. Saraswathi, S. Gopal Krishna Patro, Javed Khan Bhutto, Saiful Islam, Mohammed Kareemullah, Addisu Frinjo Emma

“…The proposed method achieves data privacy and security by 98.73%, intrusion detection efficiency by 97.16%, disease detection accuracy by 96.425, proactive healthcare management by 98.37%, and interoperability by 96.74%.…”
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Unobtrusive stress detection using wearables: application and challenges in a university setting by Peter Neigel, Andrew Vargo, Benjamin Tag, Koichi Kise

“…Advances in sensing accuracy and utility design in wearables might make this feasible; however, real-world adoption faces challenges, as users often fail to wear or use these devices consistently and correctly. Additionally, institutional monitoring raises privacy concerns.MethodsIn this study, we analyze real-world data from a cohort of 103 Japanese university students to identify periods of cyclical stress while ensuring individual privacy through aggregation. …”
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Cancelable finger vein authentication using multidimensional scaling based on deep learning by Mohamed Hammad, Mohammed ElAffendi, Ahmed A. Abd El-Latif

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Comparative effectiveness of maintenance doses of opioid agonist treatment among individuals with opioid use disorder: a target trial emulation protocol using a population-based ob... by M Eugenia Socías, Fahmida Homayra, Bohdan Nosyk, Jeong Eun Min, Julie Bruneau, Nikki Bozinoff, Shaun Seaman, P Todd Korthuis, Paxton Bach, Ehsan Karim, Michelle Zanette, Mary Clare Kennedy

“…All data are deidentified, securely stored and accessed in accordance with provincial privacy regulations. …”
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Algorithmic fandom: how generative AI is reshaping sports marketing, fan engagement, and the integrity of sport by Hans Westerbeek

“…The integration of AI in gambling platforms and the commercialisation of fan data raise significant concerns around privacy, consent, and long-term wellbeing. …”
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FOCC: A Synthetically Balanced Federated One-Class-Classification for Cyber Threat Intelligence in Software Defined Networking by Syed Hussain Ali Kazmi, Faizan Qamar, Rosilah Hassan, Kashif Nisar

“…Federated Learning offers a promising approach for building Cyber Threat Intelligence (CTI) by utilizing cross-domain data in Software Defined Networking (SDN) while addressing privacy concerns. …”
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Equipment Fault Diagnosis Method Based on High-efficient Communication Federated Learning by LIU Jing, ZHAO Yichen, LIU Xinghua, WU Youxi, JI Haipeng

“…Federated learning achieves joint training modeling of fault data from various factories while protecting privacy. …”
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New discrete memristive hyperchaotic map: modeling, dynamic analysis, and application in image encryption by Fei Yu, Yiya Wu, Xuqi Wang, Ting He, ShanKou Zhang, Jie Jin

“…With the rapid development of information technology, the demand for ensuring data security and privacy protection has become increasingly urgent. …”
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Using social presence theory to predict online consumer engagement in the emerging markets by Abraham Yeboah, Ofosu Agyekum, Vida Owusu-Prempeh, Kwadwo Boateng Prempeh

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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by Takuma Asano, Shintaro Izumi, Hiroshi Kawaguchi

“…Unlike fingerprint and facial recognition systems, they offer authentication without physical contact or privacy concerns. This study focuses on non-contact seismocardiography using microwave Doppler sensors and aims to apply this technology for biometric authentication.MethodWe proposed a method for authenticating and identifying heartbeat signals through supervised learning using a conditional variational autoencoder (CVAE). …”
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A Semi-Supervised-Learning-Aided Explainable Belief Rule-Based Approach to Predict the Energy Consumption of Buildings by Sami Kabir, Mohammad Shahadat Hossain, Karl Andersson

“…This data availability becomes either expensive or difficult due to privacy protection. …”
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Emotion Estimation Using Noncontact Environmental Sensing with Machine and Deep Learning Models by Tsumugi Isogami, Nobuyoshi Komuro

“…This paper presents a method for estimating arousal and emotional valence levels using non-contact environmental sensing, addressing challenges such as discomfort from long-term device wear and privacy concerns associated with facial image analysis. …”
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Using Digital Technology to Conduct COVID-19 Surveillance: A Systematic Review by Fitrisia Rahma, Fatmah Fatmah, Rachmadhi Purwana

“…Unique Contribution: This study emphasises the role of digital technologies in virus detection, monitoring, and prevention as a medium of infectious disease transmission, particularly in contact tracing, symptom monitoring, location tracking, and real-time data management. It highlights the challenges of privacy, data security, and public adoption issues. …”
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Development of an intelligent intrusion detection system for IoT networks using deep learning by Haozhe Zhang

“…However, attack diversity, device heterogeneity, and traditional security limitations necessitate advanced data analysis. Researchers increasingly use deep learning, which excels in handling large-scale data, to develop robust intrusion detection systems. …”
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High-fidelity steganography in EEG signals using advanced transform-based methods by Enes Efe

“…The increasing prevalence of digital health solutions and smart health devices (SHDs) ensures the continuity of personal biometric data while simultaneously raising concerns about their security and privacy. …”
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Barriers and strategies for recruitment of pregnant women in contemporary longitudinal birth cohort studies by Slawa Rokicki, Amulya Gobburu, Melissa Weidner, Nashwah Azam, Michelle Jansen, Zorimar Rivera-Núñez, Adriana De Resende, Veenat Parmar, Gloria Bachmann, Nancy Reilly, Reynold Panettieri, Maria Gloria Dominguez-Bello, Daniel B. Horton, Martin J. Blaser, Emily S. Barrett

“…Five themes emerged: challenges in committing time and resources to a research study; utility of compensation and resources; fears that research procedures would negatively impact child; concerns regarding data privacy and children's consent; and benefits for their family, community, and society. …”
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Security of medical images over insecure communication channels using zero-steganography by Wadood Abdul

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Reporting the potential risk of using AI in higher Education: Subjective perspectives of educators by Marcel Pikhart, Liqaa Habeb Al-Obaydi

“…The findings reveal significant concerns about privacy risks, academic integrity, and the validity of AI-generated data. …”
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A Survey on Android Malware Detection Techniques Using Supervised Machine Learning by Safa J. Altaha, Ahmed Aljughaiman, Sonia Gul

“…Android malware threatens users’ privacy, data security, and overall device performance. …”
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Pre-service English Teacher’s Perceptions About Learning Using Artificial Intelligence by Carolina Reyes Galindo, Oscar Manuel Narvaez Trejo, Esteban Fabian Perez Lobato

“…Using a mixed-methods approach, data were collected form 104 PSETs via a structured questionnaire and semi-structured interviews with eight-participants. …”
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