The Use of Artificial Intelligence in Combating Financial Crimes and Money Laundering in International Trade A Data-Driven Analysis (2010–2024) by Balouz Mohamed

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GraphXplore: Visual exploration and accessible preprocessing of medical data by Louis Bellmann, Karl Gottfried, Philipp Breitfeld, Frank Ückert

“…Additionally, metadata sharing, and reproducible dataset preparation are needed to increase data quality and interoperability of privacy-sensitive patient data. …”
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Mannaging medical records with blockchain by Paulo Caetano da Silva, Reginalda Santos Silva, Daniel José Diaz

“…Therefore, the goal of this work is to evaluate, through a systematic literature review (SLR), the use of blockchain to guarantee data privacy and security in e-Health systems. …”
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Deep Learning-Based Real Time Human Detection System Using LiDAR Data for Smart Healthcare Monitoring by Kalashtari Niloofar, Huhs Niklas, Kraitl Jens, Hornberger Christoph, Simanski Olaf

“…By training a YOLOv5 deep learning model using transfer learning, a method for accurate human detection and tracking within rooms using data collected from a digital LiDAR sensor was used. …”
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A secure and efficient public auditing system of cloud storage based on BLS signature and automatic blocker protocol by Baidaa Abdulrahman Jalil, Taha Mohammed Hasan, Ghassan Sabeeh Mahmood, Hazim Noman Abed

“…Hence, public cloud storage auditing is critical, so users can use a Third-party auditor (TPA) to verify data integrity. …”
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Security, QoS and energy aware optimization of cloud-edge data centers using game theory and homomorphic encryption: Modeling and formal verification by Mbarek Marwan, Abdelkarim Ait Temghart, Said Ouhmi, Mohamed Lazaar

“…First of all, we develop a secure offloading technique that can process data while preserving privacy. Although RSA and Paillier cryptosystems are highly beneficial for mathematical operations on basic encrypted data due to their homomorphic properties, images are processed using permutation-ordered binary (POB) and Shamir's secret sharing (SSS). …”
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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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Patient Confidentiality of Electronic Health Records: A Recent Review of the Saudi Literature by Nada Saddig Almaghrabi, Bussma Ahmed Bugis

“…Background Health systems harbor lucrative data that can be targeted for illegal access, thus posing a serious privacy breach. …”
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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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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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Determinants of Childbirth Choice in Rural Senegal: Mixed-Methods Analysis Using Data from the Niakhar Demographic Surveillance System by Pape Latyr Faye

“…Materials and methods: The study used a mixed-methods approach. Data from women who gave birth in the Niakhar observatory area between 1983 and 2020 were used, and chi-square tests and qualitative analyses were performed. …”
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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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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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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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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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FedDBO: A Novel Federated Learning Approach for Communication Cost and Data Heterogeneity Using Dung Beetle Optimizer by Dongyan Wang, Limin Chen, Xiaotong Lu, Yidi Wang, Yue Shen, Jingjing Xu

“…As an emerging distributed machine learning technology, federated learning has gained widespread attention due to its critical privacy protection mechanism. However, it also faces challenges such as high communication costs and heterogeneous client data.In order to address the above issues. …”
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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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Comparative Analysis of RAG-Based Open-Source LLMs for Indonesian Banking Customer Service Optimization Using Simulated Data by Hendra Lijaya, Patricia Ho, Handri Santoso

“…These findings underscore the potential of locally operated open-source LLMs for banking applications, ensuring privacy and regulatory compliance. However, limitations include reliance on synthetic data, a narrow question set, and lack of user diversity. …”
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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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