Best practices for clinical trials data harmonization and sharing on NHLBI bioData catalyst (BDC) learned from CONNECTS network COVID-19 studies by Jeran K. Stratford, Huaqin Helen Pan, Alex Mainor, Edvin Music, Joshua Froess, Alex C. Cheng, Alexandra Weissman, David T. Huang, Elizabeth C. Oelsner, Sonia M. Thomas

“…Responsible data-sharing requires addressing challenges associated with data privacy and confidentiality, data linkage, data quality, variable harmonization, data formats, and comprehensive metadata documentation to produce a high-quality, contextually rich, findable, accessible, interoperable, and reusable (FAIR) dataset. …”
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Personalization in Mobile Activity Recognition System Using -Medoids Clustering Algorithm by Quang Viet Vo, Minh Thang Hoang, Deokjai Choi

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Deep learning-based fall detection using commodity Wi-Fi by Tingwei Chen, Xiaoyang Li, Hang Li, Guangxu Zhu

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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning by Ahmad Aldelemy, Raed A. Abd-Alhameed

“…The workflow is simple, adaptable, and suitable for UK banks, demonstrating the potential for practical implementation and data privacy. Future work will extend our approach to UK banks, reformulate the problem as a multi-class classification, and introduce pre-training automated steps for data analysis and transformation. …”
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A Multi-Image Cryptosystem Using Quantum Walks and Chebyshev Map by Bassem Abd-El-Atty, Abdullah M. Iliyasu, Ahmed A. Abd El-Latif

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Using Machine Learning Algorithms in Intrusion Detection Systems: A Review by Mazin S. Mohammed, Hasanien Ali Talib

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Optimizing encrypted search in the cloud using autoencoder-based query approximation by Mahmoud Mohamed, Khaled Alosman

“…Our work provides a rigorous evaluation of autoencoder-based query approximation for encrypted cloud search using real-world datasets. The research implement a general framework agnostic to model type, data modality, and encryption scheme. …”
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DKA Prediction in Children Using Artificial Intelligence: Improved Emergency Care by Arifa Parveen, Mohsina Riffat, Sarang Shaikh

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Lightweight DDoS Attack Detection Using Bayesian Space-Time Correlation by Gabriel Mendonca, Rosa M. M. Leao, Edmundo De Souza E. Silva, Don Towsley

“…In that experiment, conducted using the residences of volunteers and over one month, our system detected 99.1% of all DDoS attacks launched, with no false alarms.…”
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Detection of Malicious Clients in Federated Learning Using Graph Neural Network by Anee Sharma, Ningrinla Marchang

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SMS spam detection using BERT and multi-graph convolutional networks by Linjie Shen, Yanbin Wang, Zhao Li, Wenrui Ma

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Foundational models and federated learning: survey, taxonomy, challenges and practical insights by Cosmin-Andrei Hatfaludi, Alex Serban

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Data analysis in the healthcare context: a smart cities perspective by Fabiane Florencio de Souza, Alana Corsi, Clayton Pereira de Sá, Regina Negri Pagani, João Luiz Kovaleski

“…For this, a bibliographic review was carried out, using the Methodi Ordinatio methodology, resulting in a portfolio of articles with scientific relevance, which was the source of data collection and analysis. …”
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Lightweight Block and Stream Cipher Algorithm: A Review by Suaad Ali Abead, Nada Hussein M. Ali

“…Fortunately, various lightweight encryption algorithms could be used to increase defense against various attacks to preserve the privacy and integrity of such applications. …”
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Verifiable computation scheme of batch matrix multiplication based on triple perturbation and linear combination by ZHANG Tianpeng, REN Zhiyu, DU Xuehui, WANG Haichao

“…At present, the sparse matrix multiplication encryption method is used to protect the privacy of data in the matrix multiplication verifiable calculation scheme. …”
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Design of shuffling protocol based on additive secret sharing by ZHANG Yanshuo, MAN Ziqi, ZHOU Xingyu, YANG Yatao, HU Ronglei

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Balancing Innovation and Ethics by Anisa Patel

“…Opponents also point out privacy concerns and insufficient consumer data protection.  …”
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Balancing Innovation and Ethics by Anisa Patel

“…Opponents also point out privacy concerns and insufficient consumer data protection.  …”
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When Digital Economy Meets Web3.0: Applications and Challenges by Chuan Chen, Lei Zhang, Yihao Li, Tianchi Liao, Siran Zhao, Zibin Zheng, Huawei Huang, Jiajing Wu

“…In the digital economy scenario, the centralized nature of the Internet and other characteristics usually bring about security issues such as infringement and privacy leakage. Therefore, it is necessary to investigate how to use Web3.0 technologies to solve the pain points encountered in the development of the digital economy by fully exploring the critical technologies of digital economy and Web3.0. …”
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A content review of COVID-19-related apps used in Vietnam by Linh Tran, Federica Cucé, Nguyen Thanh An, Kadek Agus Surya Dila, Nguyen Hai Nam, Doan Le Nguyet Cat, Lee Wei Jun, Farrukh Ansar, Fatima Abdallh, Au Vo, Nguyen Tien Huy

“…The most serious user concerns were privacy breaches during data recording and storage, technical issues, and non-user-friendly interfaces. …”
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