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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A secure and scalable blockchain-based model for electronic health record management by Kalyani Pampattiwar, Pallavi Chavan

“…Abstract In the contemporary digital era, the storage of Electronic Health Records on open platforms presents significant security and privacy challenges. Addressing these concerns requires standardizing the clinical deployment models currently in use. …”
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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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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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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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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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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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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

“…This feasibility study uses exposure data from one of the completed PFAS HBM studies, which included 796 individuals. …”
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Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study by Mohammed A Almanna, Lior M Elkaim, Mohammed A Alvi, Jordan J Levett, Ben Li, Muhammad Mamdani, Mohammed Al‑Omran, Naif M Alotaibi

“…The presence of fear underscores the need to address ethical concerns, particularly around data privacy, safety, and transparency. Transparent communication and ethical considerations are essential for building public trust and reducing apprehension. …”
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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

“…We provide historical and recent examples while looking at key issues and challenges, such as privacy, legitimacy, resources, and leadership, which must be considered to achieve such HFDBs. …”
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A review on the impact of big data analytics in transforming agricultural practices, food processing, and preservation strategies by Jelili Babatunde Hussein, Tilahun Seyoum Workneh, Alaika Kassim, Khuthadzo Ntsowe, Sileshi F. Melesse, Hany S. El-Mesery

“…Big data is used a lot in food distribution and retail, but not enough in production, making decisions, and making things last. …”
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Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data by Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari

“…The first step involves generating synthetic TCP malware traffic data with malicious content using GPT-2. These data are then preprocessed and used in the second step, which focuses on malware classification. …”
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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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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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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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Inferring Travel Modes from Cellular Signaling Data Based on the Gated Recurrent Unit Neural Network by Yanchen Wang, Fei Yang, Li He, Haode Liu, Li Tan, Cheng Wang

“…Moreover, in cooperation with the operator, we organized an experiment collecting cellular signaling data, as well as the corresponding GPS data. Using the collected dataset as ground-truth data, the performance of the method presented in this paper and other popular methods is verified and compared. …”
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Integrating patient metadata and pathogen genomic data: advancing pandemic preparedness with a multi-parametric simulator by Bonjean Maxime, Ambroise Jérôme, Orchard Francisco, Sentis Alexis, Hurel Julie, Hayes Jessica S., Connolly Máire A., Jean-Luc Gala

“…However, data sharing between EU member states faces challenges due to disparities in data collection practices, standardisation, legal frameworks, privacy, security regulations, and resource allocation. …”
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