Edge-FLGuard: A Federated Learning Framework for Real-Time Anomaly Detection in 5G-Enabled IoT Ecosystems by Manuel J. C. S. Reis

“…The rapid convergence of 5G networks and Internet of Things (IoT) technologies has unlocked unprecedented connectivity and responsiveness across smart environments—but has also amplified cybersecurity risks due to device heterogeneity, data privacy concerns, and distributed attack surfaces. …”
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Cybersecurity Anomaly Detection: AI and Ethereum Blockchain for a Secure and Tamperproof IoHT Data Management by Oluwaseun Priscilla Olawale, Sahar Ebadinezhad

“…Since medical Information Technology (IT) is evolving and data privacy is a major concern with sensors generally, in healthcare IoT. …”
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Navigating challenges/opportunities in developing smart agricultural extension platforms: Multi-media data mining techniques by Josué Kpodo, A. Pouyan Nejadhashemi

“…Addressing data privacy issues involves adhering to open-access principles and enforcing strict data encryption and anonymization standards. …”
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Ethical implications related to processing of personal data and artificial intelligence in humanitarian crises: a scoping review by Tino Kreutzer, James Orbinski, Lora Appel, Aijun An, Jerome Marston, Ella Boone, Patrick Vinck

“…Abstract Background Humanitarian organizations are rapidly expanding their use of data in the pursuit of operational gains in effectiveness and efficiency. …”
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Challenges and strategies in building a foundational digital health data integration ecosystem: a systematic review and thematic synthesis by Radha Ambalavanan, R Sterling Snead, Julia Marczika, Gideon Towett, Alex Malioukis, Mercy Mbogori-Kairichi

“…A thematic synthesis approach was used to categorize findings into three primary themes: interoperability, PCC, and genomic data integration.ResultsA total of 161 studies were included. …”
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Establishing a Personal Data Protection Agency for E-Commerce in Indonesia: Legal Framework and Implementation Challenges by Bilqis Laila Nuzul Sa'adah, Sukarmi, Reka Dewantara

“…The rapid growth of e-commerce in Indonesia has led to a significant increase in the collection and processing of personal data, raising concerns regarding data security and privacy rights. …”
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Blockchain-Based Modified AES with Chaotic Random Key Generation for Secured E-Medical Data Sharing by Vinothkumar.M, R. Saravana Ram

“…Besides, a Modified Digest hashing algorithm is also used with M-AES for feeding the encrypted text and hash into data blocks. …”
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Putting health facilities on the map: a renewed call to create geolocated, comprehensive, updated, openly licensed dataset of health facilities in sub-Saharan African countries by Peter M. Macharia, Lenka Beňová, Nicolas Ray, Aline Semaan, Moses M. Musau, John Kapoi Kipterer, Mark Herringer, Robert W. Snow, Emelda A. Okiro

“…Consequently, multiple national and subnational parallel efforts attempt to construct HFDBs, resulting in duplication and lack of governmental input, use, and validation. Main body In this paper, we advocate for a harmonized SSA-wide HFDB. …”
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Integrating human biomonitoring exposure data into a primary care morbidity database: a feasibility study by Pieter Jansen, Elly Den Hond, Katleen De Brouwere, Endale Alemayehu Ali, Hamid Yimam Hassen, Ilona Gabaret, Gijs Van Pottelbergh

“…Several human biomonitoring (HBM) studies were initiated, gathering cross-sectional exposure data from more than 10,000 participants. The linkage of these HBM data with primary care health registries might be a useful new tool in environmental health analysis. …”
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Open Power System Datasets and Open Simulation Engines: A Survey Toward Machine Learning Applications by Ignacio Aravena, Chih-Che Sun, Ranyu Shi, Subir Majumder, Weihang Yan, Jhi-Young Joo, Le Xie, Jiyu Wang

“…In comparison, power grid datasets face three major challenges: (i) real-world data is often restricted by regulatory constraints, privacy reasons, or security concerns, making it difficult to obtain and work with; (ii) synthetic datasets, which are created to address these limitations, often have incomplete information and are released using specialized tools, making them inaccessible to the broader community; and, (iii) input-output datasets are difficult to generate through simulation for non-experts because open-source simulators are not known outside the power system community. …”
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Artificial Intelligence Use in Daily and Professional Life among Pediatric Surgeons in India: A Roadmap for Adoption Based on Online Survey Results by Ankur Mandelia, Vinayak S. Rengan, Alish Rajesh Mehta, Aseesh Varma Vankam, Ramesh Babu, Sumitra Kumar Biswas, Vikesh Agrawal

“…Addressing barriers such as ethical concerns, data privacy, and cost could catalyze AI’s potential to revolutionize pediatric surgical care. …”
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Assessment of the Quality of Smartphone-Based Applications and Games for Teaching Medical Terminology Using the Mobile Application Rating Scale (MARS) by Seyyedeh Fatemeh Mousavi Baigi, Reyhaneh Norouzi Aval, Masoumeh Sarbaz, Khalil Kimiafar

“…The same checklist was used for data extraction. The quality of apps was measured using the Mobile App Rating Scale (MARS). …”
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Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images by Abdullah Hosseini, Ahmed Serag

“…Synthetic data offers a compelling solution to the challenges associated with acquiring high-quality medical data, which is often constrained by privacy concerns and limited accessibility. …”
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Synthetic data trained open-source language models are feasible alternatives to proprietary models for radiology reporting by Aakriti Pandita, Angela Keniston, Nikhil Madhuripan

“…Abstract The study assessed the feasibility of using synthetic data to fine-tune various open-source LLMs for free text to structured data conversation in radiology, comparing their performance with GPT models. …”
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Blockchain assisted signature and certificate based protocol for efficient data protection and transaction management in smart grids. by Keyan Abdul-Aziz Mutlaq, Vincent Omollo Nyangaresi, Mohd Adib Omar, Zaid Ameen Abduljabbar, Junchao Ma, Mustafa A Al Sibahee, Abdulla J Y Aldarwish, Ali Hasan Ali

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An Examination of Human Rights Related to the Protection of Debtor Customer Data and Information Through Bank Secrecy Rules by Erma Defiana Putriyanti, Abdul Rachmad Budiono, Sukarmi Sukarmi, Reka Dewantara

“… This research aims to examine and analyse how the protection of debtor customer data and information in the perspective of human rights. …”
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Reversible Data Hiding in Encrypted Images Based on Edge-Directed Prediction and Multi-MSB Self-Prediction by Yingqiang Qiu

“…With the development of cloud computing, reversible data hiding in encrypted images (RDH-EI) technology has gained significant attention in ensuring data security and privacy protection. …”
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Algorithmic systems: the consent is in the detail? by Alexandra Giannopoulou

“…While these applications are progressively gaining momentum, established data protection and privacy rules have struggled to incorporate the particularities of data-intensive information societies. …”
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Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks by Amarudin Daulay, Kalamullah Ramli, Ruki Harwahyu, Taufik Hidayat, Bernardi Pranggono

“…By preserving patient data privacy at the edge, FedGCL enhances system resilience without sacrificing model performance. …”
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Quantitative and Spatially Explicit Clustering of Urban Grocery Shoppers in Montreal: Integrating Loyalty Data with Synthetic Population by Duo Zhang, Laurette Dubé, Antonia Gieschen, Catherine Paquet, Raja Sengupta

“…While integrating loyalty data with synthetic populations mitigates privacy concerns, challenges remain regarding data sparsity and demographic inconsistencies. …”
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