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

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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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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

“…We collect data on DDoS attacks by generating real attack traffic from the homes of a selected group of volunteers, utilizing authentic malware source code. …”
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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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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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Federated learning framework for IoT intrusion detection using tab transformer and nature-inspired hyperparameter optimization by Mohamed Abd Elaziz, Mohamed Abd Elaziz, Mohamed Abd Elaziz, Ibrahim A. Fares, Abdelghani Dahou, Mansour Shrahili

“…The goal of the developed framework is to improve the detection of IDS without using centralized data to preserve privacy. Whereas it enhances the processing and detection capability of huge amounts of data generated from IoT devices. …”
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The impact of artificial intelligence on behavioral intentions to use mobile banking in the post-COVID-19 era by Johannes Schrank, Johannes Schrank

“…Data has been collected from 412 respondents in Thailand, and structural equation modeling has been employed for the data analysis.ResultsThe findings reveal significant positive effects of performance expectancy, effort expectancy, social influence, facilitating conditions, trust, perceived privacy, perceived intelligence and anthropomorphism of AI on users’ behavioral intentions to use mobile banking. …”
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PRE-SERVICE TEACHERS' PERCEPTIONS OF THE USE OF GENAI AND TRADITIONAL GRAMMAR-CHECKING TOOLS FOR ENGLISH WRITING by Tiara Putri, Rahmah Fithriani

“…Ethical concerns, particularly regarding data privacy and originality, are also identified. …”
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Behavioral Drivers Influencing Women’s Decision to Use Self-Injectable Contraception Provided by Community Health Surveillance Assistants in Rural Malawi by Martha Kamanga, Dilys Walker, Address Malata, Mandaachepa Nyando, Jessie Salamba, Alaizi Nkhoma, Innocencia Mtalimanja, Tamanda Jumbe, Emas Potolani, Alfred Maluwa, Chifundo Zimba, Josophine Changole, Rabecca Bika, Emily Himes, Lauren Suchman, Janelli Vallin, Beth Phillips, Jenny Liu, Kelsey Holt

“…Introduction: Self-injection (SI) for contraceptive use is recommended for its proven ability to empower women and overcome barriers to contraceptive access. …”
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Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review by John Gabriel O. Marko, Ciprian Daniel Neagu, P. B. Anand

“…A holistic approach must be used to address disparities, enforce effective regulations, safeguard privacy, promote inclusion and equity, and emphasize rigorous validation.…”
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Investigating High School Students’ Attitudes Toward the Use of AI in Education: Evidence from Cambodia by Sarin Sok, Kimkong Heng, Mengkorn Pum

“…Utilizing evidence from an online survey with 315 students (female = 62.50%), the study showed that Cambodian high school students expressed generally favorable attitudes toward utilizing AI-powered tools in education, particularly pertaining to the use of AI to aid in completing school work. However, the study identified key concerns about data privacy and security issues, the risk of becoming over-dependent on AI, and limited originality about students’ work. …”
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Some ethical and technological challenges of smart cities by Brian G. Field

“…The moral dilemma and important ethical questions resulting from the use of big data to scrutinise and profile individuals and communities, compromising their privacy and anonymity without their knowledge or consent, cannot be underestimated and appears beyond the control of prevailing data protection protocols.…”
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KRID: A Large-Scale Nationwide Korean Road Infrastructure Dataset for Comprehensive Road Facility Recognition by Hyeongbok Kim, Eunbi Kim, Sanghoon Ahn, Beomjin Kim, Sung Jin Kim, Tae Kyung Sung, Lingling Zhao, Xiaohong Su, Gilmu Dong

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Assessment of gender-related differences in digital financial services use and health worker performance in Nigeria by Jesuloluwa Adeolu Alabi, David Ayobami Adewole, Folashayo Peter Adeniji, Segun Bello, Juliet Aweko, Elizabeth Ekirapa, Peter Waiswa, Olufunmilayo Ibitola Fawole

“…Quantitative data was analyzed using the student t-test, while inductive coding approach was adopted for qualitative data. …”
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Advancing cloud security: Unveiling the protective potential of homomorphic secret sharing in secure cloud computing by Sijjad Ali, Shuaib Ahmed Wadho, Aun Yichiet, Ming Lee Gan, Chen Kang Lee

“…Cloud computing security and data protection are becoming increasingly critical as its use increases. …”
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Integrating multi-modal learning analytics dashboard in K-12 education: insights for enhancing orchestration and teacher decision-making by Isabella Possaghi, Boban Vesin, Feiran Zhang, Kshitij Sharma, Cecilie Knudsen, Håkon Bjørkum, Sofia Papavlasopoulou

“…Further research should investigate students’ responses more closely and further develop strategies for the responsible, explainable, and unbiased use of student affective data in real classrooms.…”
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Building occupancy estimation using single channel CW radar and deep learning by Sourav Kumar Pramanik, Md. Shafkat Hossain, Shekh Md. Mahmudul Islam

“…Abstract Counting the number of people in a room is crucial for optimizing smart buildings, enhancing energy efficiency, and ensuring security while preserving privacy. This study introduces a novel radar-based occupancy estimation method leveraging a 24-GHz Continuous Wave (CW) radar system integrated with time-frequency mapping techniques using Continuous Wavelet Transform (CWT) and power spectrum analysis. …”
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