New frontiers in migration statistics: a narrative review on big data’s role by Ahmad Wali Ahmad Yar, Tuba Bircan

“…However, its use remains largely experimental, with key concerns around data access, representativeness, privacy, and the integration with official statistics. …”
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The impact of zero-knowledge proofs on data minimisation compliance of digital identity wallets by Emanuela Podda, Pol Hölzmer, Alexandre Amard, Johannes Sedlmeir, Gilbert Fridgen

“…Technically, these attestations involve auxiliary information to ensure their verifiability, leading to the generation, processing, and storage of more than just personal data. In particular, this auxiliary information contains globally unique information that can be misused as personal identifiers and poses risks to the privacy of individuals engaging in transactions using a European Digital Identity Wallet. …”
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A Continuous Authentication Approach for Mobile Crowdsourcing Based on Federated Learning by Mohamad Wazzeh, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, Mohsen Guizani

“…With the widespread use of smartphones and wearable devices, Mobile Crowdsourcing (MCS) has become a powerful method for gathering and processing data from various users. …”
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Research on the security of national secret algorithm based compute first networking by Jie PAN, Lan YE, Pengfei ZHANG, Zhonggui BU

“…With the promotion of national secret algorithm, in-depth research on the arithmetic network was carried out, a more efficient and reasonable security scheme for the arithmetic network was proposed, ensuring the data security and privacy of the arithmetic network with the help of the state secret algorithm.The main elements of the design program included: Supporting arithmetic demand and cryptographic invocation through the underlying resources, the arithmetic orchestration layer provided the ability to orchestrate data arithmetic, meanwhile, the arithmetic scheduling layer intelligently discerned the optimal nodes for arithmetic resource scheduling and allocation; the cryptographic reinforcement layer used the national secret algorithm based on hardware support with the help of public key cryptosystem, hash function, digital envelope, homomorphic encryption, blockchain and other technologies.Focusing on arithmetic network access security, transmission security, data security and privacy protection aspects of security implementation.An architecture and application form was innovatively proposed to guarantee the data security of the arithmetic network, which could meet the needs of the application layer arithmetic in the scenarios of big data, intelligent technology, etc..The security of the arithmetic network is enhanced by empowering the arithmetic network through the state-secret algorithm.…”
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Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches by Chika Yinka-Banjo, Olasupo Ajayi, Mary Akinyemi, David Tresner-Kirsch, Adekemi Omotubora

“…All respondents were required to accept these terms and conditions before being allowed to participate in the data collection exercise. • Data were collected using askNivi, an app specifically designed for healthcare related data collection. …”
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Cloud Storage Data Protection Mechanism Based on a Fingerprint Cube Algorithm by Hao Wu, Jiulun Fan, Jianhua Liu, Junsheng Zhang

“…Cloud storage is an effective solution to the storage performance bottleneck, but it also gives rise to problems of data security and privacy protection. In order to solve this problem, a cloud storage data protection mechanism based on a fingerprint cube algorithm was developed. …”
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Full Data-Processing Power Load Forecasting Based on Vertical Federated Learning by Zhengxiong Mao, Hui Li, Zuyuan Huang, Yuan Tian, Peng Zhao, Yanan Li

“…To address it, according to the procedure in a practical scenario, we propose a vertical FL XGBoost-based PLF, where multiparty secure computation is used to enhance the privacy protection of FL. Concretely, we design a full data-processing PLF, including data cleaning, private set intersection, feature selection, federated XGBoost training, and inference. …”
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Enhancing Property-Based Token Attestation With Homomorphic Encryption (PTA-HE) for Secure Mobile Computing by Thinh Le Vinh, Huan Thien Tran, Samia Bouzefrane

“…Consequently, PTA-HE provides a highly effective and practical solution for secure mobile computing applications requiring stringent assurances of data privacy and integrity.…”
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Passive Indoor People Counting by Bluetooth Signal Deformation Analysis with Deep Learning by Giancarlo Iannizzotto, Lucia Lo Bello, Andrea Nucita

“…Notably, in the regression setup, the model can generalize to occupancy values not present in the fine-tuning dataset, requiring only a few minutes of calibration data to adapt to a new environment. We believe that this approach offers a valuable solution for real-time people counting in critical environments such as laboratories, clinics, or hospitals, where preserving privacy may limit the use of camera-based systems. …”
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Cloud Storage Data Protection Mechanism Based on a Fingerprint Cube Algorithm by Hao Wu, Jiulun Fan, Jianhua Liu, Junsheng Zhang

“…Cloud storage is an effective solution to the storage performance bottleneck, but it also gives rise to problems of data security and privacy protection. In order to solve this problem, a cloud storage data protection mechanism based on a fingerprint cube algorithm was developed. …”
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To be or not to be, when synthetic data meet clinical pharmacology: A focused study on pharmacogenetics by Jean‐Baptiste Woillard, Clément Benoist, Alexandre Destere, Marc Labriffe, Giulia Marchello, Julie Josse, Pierre Marquet

“…Abstract The use of synthetic data in pharmacology research has gained significant attention due to its potential to address privacy concerns and promote open science. …”
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The issue of credibility between customers’ perceptions and the attitude toward Facebook advertising by Jassim Al-Gasawneh, Abdullah AlSokkar, Mahmoud Alghizzawi, Tahreer Abu Hmeidan, Deemah Alarabiat, Ahmed Alamro

“…Type of the article: Research Article AbstractAmong marketing professionals, the use of Social Networking Sites (SNSs) as a platform for advertising is on the rise, despite ongoing concerns regarding credibility and trust in privacy related to advertising on these sites. …”
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CDAS: A Secure Cross-Domain Data Sharing Scheme Based on Blockchain by Jiahui Jiang, Tingrui Pei, Jiahao Chen, Zhiwen Hou

“…This method simplifies device resource access by minimizing middleware confirmation, double-checking device access rights, and preventing redundant requests caused by illegal access attempts. Finally, in terms of data privacy and security, IPFS is used to store confidential data. …”
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Membership inference attack and defense method in federated learning based on GAN by Jiale ZHANG, Chengcheng ZHU, Xiaobing SUN, Bing CHEN

“…Aiming at the problem that the federated learning system was extremely vulnerable to membership inference attacks initiated by malicious parties in the prediction stage, and the existing defense methods were difficult to achieve a balance between privacy protection and model loss.Membership inference attacks and their defense methods were explored in the context of federated learning.Firstly, two membership inference attack methods called class-level attack and user-level attack based on generative adversarial network (GAN) were proposed, where the former was aimed at leaking the training data privacy of all participants, while the latter could specify a specific participant.In addition, a membership inference defense method in federated learning based on adversarial sample (DefMIA) was further proposed, which could effectively defend against membership inference attacks by designing adversarial sample noise addition methods for global model parameters while ensuring the accuracy of federated learning.The experimental results show that class-level and user-level membership inference attack can achieve over 90% attack accuracy in federated learning, while after using the DefMIA method, their attack accuracy is significantly reduced, approaching random guessing (50%).…”
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PCGOD: Enhancing Object Detection With Synthetic Data for Scarce and Sensitive Computer Vision Tasks by Walid Remmas, Martin Lints, Jaak Joonas Uudmae

“…Object detection models rely on large-scale, high-quality annotated datasets, which are often expensive, scarce, or restricted due to privacy concerns. Synthetic data generation has emerged as an alternative, yet existing approaches have limitations: generative models lack structured annotations and precise spatial control, while game-engine-based datasets suffer from inaccuracies due to 3D bounding box projections, limited scene diversity, and poor handling of articulated objects. …”
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Examining the impact of environmental product innovation on perceived brand value considering the mediating role of ethical- aspects in the home appliance industry by Hamidreza Talaie

“…In this study, a convenience sampling method was used. To collect data, a standardized questionnaire was used, whose validity was confirmed by calculating content, convergent, and divergent validity, and its reliability was confirmed through the Cronbach's alpha index. …”
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Cybersecurity in Smart Railways: Exploring risks, vulnerabilities and mitigation in the data communication services by Tiago Fernandes, João Paulo Magalhães, Wellington Alves

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SGAK: A Robust ECC-Based Authenticated Key Exchange Protocol for Smart Grid Networks by Akber Ali Khan, Vinod Kumar, Ramakant Prasad, M. Javed Idrisi

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Sharing traumatic stress research data: assessing and reducing the risk of re-identification by Nancy Kassam-Adams, Kristi Thompson, Marit Sijbrandij, Grete Dyb

“…Background: FAIR Data practices support data sharing and re-use and are essential for advancing science and practice to benefit individuals, families, and communities affected by trauma. …”
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A collaborative data storage with incentive mechanism for blockchain-based IoV by Quan Shi, Lankai Wang, Chen Chen

“…As the volume of data in the Internet of Vehicles (IoV) continues to grow, challenges such as insufficient storage capacity and potential privacy breaches become more pronounced. …”
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