Fingernail analysis management system using microscopy sensor and blockchain technology by Shih Hsiung Lee, Chu Sing Yang

“…This work uses the highly anonymous blockchain technology to effectively protect data privacy and manage each user’s data through the blockchain, in which any change or manipulation can be recorded and tracked, and the data security is improved. …”
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Post-Quantum Cryptography Resilience in Telehealth Using Quantum Key Distribution by Don Roosan, Rubayat Khan, Saif Nirzhor, Fahmida Hai

“…By integrating Post-Quantum Cryptography (PQC) with Quantum Key Distribution (QKD) and privacy-preserving mechanisms, data confidentiality and immutability for patient records in a post-quantum era are ensured. …”
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QBPP: Quality of services–based location privacy protection method for location-based services in cloud-enabled Internet of vehicles by Ji-ming Chen, Ting-ting Li, Liang-jun Wang

“…To guarantee secure data transmission in Internet of vehicles, the batch validation technique is used to address data integrity. …”
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Strategies and Challenges in Detecting XSS Vulnerabilities Using an Innovative Cookie Collector by Germán Rodríguez-Galán, Eduardo Benavides-Astudillo, Daniel Nuñez-Agurto, Pablo Puente-Ponce, Sonia Cárdenas-Delgado, Mauricio Loachamín-Valencia

“…Five bots were deployed, one for each of the most commonly used university browsers, enabling comprehensive data collection across multiple platforms. …”
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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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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…Federated Learning (FL) offers an encouraging solution to address these challenges by providing a privacy-preserving solution for investigating and detecting cyberattacks in IoT systems without negotiating data privacy. …”
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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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Achieving local differential location privacy protection in 3D space via Hilbert encoding and optimized random response by Yan Yan, Pengbin Yan, Adnan Mahmood, Yang Zhang, Quan Z. Sheng

“…The widespread use of spatial location-based services not only provides considerable convenience, but also exposes the downsides of location privacy leakage. …”
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A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans by Abdullah Al-Saleh, Ghanshyam G. Tejani, Shailendra Mishra, Sunil Kumar Sharma, Seyed Jalaleddin Mousavirad

“…Because traditional deep learning models store all their data together, they raise questions about privacy, complying with regulations and the different types of data used by various institutions. …”
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AI, machine learning and deep learning in cyber risk management by Ishrag Hamid, M. M. Hafizur Rahman

“…However, challenges persist in ensuring the accuracy of information, understanding the functionality of models, and protecting individuals’ data. Ethical use of personal information and safeguarding privacy remain critical, with researchers needing to prioritize accuracy, transparency in AI models, and fairness in decision-making. …”
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Ethical and privacy challenges of integrating generative AI into EHR systems in Tanzania: A scoping review with a policy perspective by Augustino Mwogosi

“…Results The review identified six key ethical and privacy challenges associated with generative AI in EHR systems: data privacy and security risks, algorithmic bias and fairness concerns, transparency and accountability issues, consent and autonomy challenges, human oversight gaps and risks of data re-identification. …”
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Network Attack Detection for Business Safety by Fadia Abduljabbar Saeed, Ghalia Nassreddine, Joumana Younis

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