Smart Grid Intrusion Detection for IEC 60870-5-104 With Feature Optimization, Privacy Protection, and Honeypot-Firewall Integration by Pedamallu Sai Mrudula, Rayappa David Amar Raj, Archana Pallakonda, Yanamala Rama Muni Reddy, K. Krishna Prakasha, V. Anandkumar

“…Furthermore, the proposed framework includes a federated learning-based scheme that utilizes differential privacy and homomorphic encryption to ensure the privacy and integrity of the data to enhance model interpretability and efficiency with feature ranking to provide insights into attack patterns and anomaly characteristics. …”
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Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework by Fatemeh Sarani Rad, Juan Li

“…Furthermore, these approaches typically rely on centralized data processing, which raises privacy concerns due to the sensitive nature of health care data. …”
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Effect of Workshop Training on Nursing Students’ Knowledge and Attitude Regarding Children’s Privacy Protection: A Quasi-experimental Study by Fatemeh Azimi, Fariba Asgari, Yasaman Yaghobi, Saman Maroufizadeh, Morteza Rahbar Taramsari

“…Their attitudes and Knowledge were assessed before and after training using researcher-made children’s privacy knowledge and attitude scales. …”
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A Decision Cloud Ranking Approach Based on Privacy and Security in Blockchain E-Health Industry 4.0 Systems by Sarah Qahtan, Khaironi Yatim, Mohd Hafeez Osman, Hazura Zulzalil, Muhammad Luqman Mahamad Zakaria

“…Second, the weights of each privacy and security property are calculated using the SFS-FWZIC method. …”
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Precision Oncology Program (POP), an observational study using real-world data and imaging mass cytometry to explore decision support for the Molecular Tumor Board: study protocol by Charles Lu, Andreas Wicki, Shemra Rizzo, Dominik Glinz, Eva Camarillo-Retamosa, Laura Amanda Boos, Christian Doerig, Gabriele Gut, Nicola Miglino, Luis Fábregas Ibáñez, Charlotta Schärfe Fruechtenicht, Nandini Chitale, Martin Zoche, Bernd Bodenmiller, Stephane Chevrier, Alexandra Sophia Eklund, Marta Nowak, Sepehr Rahmani Khajouei, Carmen Galani Berardo, Lukasz Kaczmarek, Karin Bosshard, William Archey, Matthias Bodmer, Chiara Louisa Hempel, Parisa Rahimzadeh, Benedict Gosztonyi, Ulrich Richter, Lorenz Bankel

“…In this case, a signed general consent form must be available. Data privacy is ensured by unique patient numbers for pseudo-anonymised data. …”
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Enhancing Cybersecurity and Privacy Protection for Cloud Computing-Assisted Vehicular Network of Autonomous Electric Vehicles: Applications of Machine Learning by Tiansheng Yang, Ruikai Sun, Rajkumar Singh Rathore, Imran Baig

“…However, more connected and engaged nodes also increase the system’s vulnerability to cybersecurity and privacy breaches. Various security and privacy challenges in vehicular cloud computing and its variants (VEC, VFC) can be efficiently tackled using machine learning (ML). …”
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Network Attack Detection for Business Safety by Fadia Abduljabbar Saeed, Ghalia Nassreddine, Joumana Younis

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Psychiatrists’ and trainees’ knowledge, perception, and readiness for integration of artificial intelligence in mental health care in Nigeria by Olatunji Alao Abiodun, Peter Omoniyi Ajiboye, Mumeen Olaitan Salihu, Dauda Sulyman, Adesanmi Akinsulore, Okwudili Obayi, Hassan Bala Salihu

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The Impact of Artificial Intelligence on the Future Business World by Hebah Y. AlQato

“…In order to assist businesses better understand their consumers' requirements and preferences, AI is being used to examine customer data and generate insights. …”
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AdaBoost algorithm based on target perturbation by Shufen ZHANG, Yanling DONG, Jingcheng XU, Haoshi WANG

“…Aiming at the problem that the multi-round iteration process in the AdaBoost algorithm will amplify the noise added to achieve differential privacy protection, which leads to slow model convergence and greatly reduced data availability, an AdaBoost algorithm based on target perturbation—DPAda was proposed.Target perturbation was used to add noise to sample weights, accurately calculated their sensitivity, and a dynamic privacy budget was given.In order to solve the problem of excessive noise superposition, three noise injection algorithms based on swing sequence, random response and improved random response were proposed.The experimental results show that compared with DPAda_Random and DPAda_Swing, DPAda_Improved achieves the privacy protection of data, has higher classification accuracy, as well as better than other differential privacy AdaBoost algorithm, and can also solve the problem of excessive noise caused by continuous noise addition.…”
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MKD-Net: A Novel Neuro Evolutionary Approach for Blockchain-Based Secure Medical Image Classification Using Multi-Kernel DLM by Virendra P. Vishwakarma, Abhay Kumar Yadav

“…Moreover, the integration with blockchain provide secure feature storage and also ensures data integrity, traceability, and enhanced privacy. …”
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Using electronic health record data to establish a chronic kidney disease surveillance system in China: protocol for the China Kidney Disease Network (CK-NET)-Yinzhou Study by Yu Yang, Peng Shen, Hongbo Lin, Luxia Zhang, Minghui Zhao, Jinwei Wang, Beiyan Bao, Guilan Kong, Xiaoyu Sun, Guohui Ding, Bixia Gao, Chao Yang

“…The China Kidney Disease Network (CK-NET) was established as a comprehensive surveillance system for CKD using various data sources. As part of this, the proposed CK-NET-Yinzhou study aims to build a regional surveillance system in a developed coastal area in China to obtain detailed dynamic information about kidney disease and to improve the ability to manage the disease effectively.Methods and analysis Yinzhou is a district of Ningbo city, Zhejiang province. …”
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A Performance Analysis of VPN Technologies Used in an IoT Environment by HRITCAN, D.-F., GRAUR, A., BALAN, D. G., TIMOFTE, E. M.

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Comprehensive Evaluation Method of Privacy-Preserving Record Linkage Technology Based on the Modified Criteria Importance Through Intercriteria Correlation Method by Shumin Han, Yue Li, Derong Shen, Chuang Wang

“…The conflict between data security and shared utilization is significant, with traditional data integration methods risking data leakage and privacy breaches. …”
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Active Privacy-Preserving, Distributed Edge–Cloud Orchestration–Empowered Smart Residential Mains Energy Disaggregation in Horizontal Federated Learning by Yu-Hsiu Lin, Yung-Yao Chen, Shih-Hao Wei

“…In addition, edge–cloud collaboration based on HFL not only improves data privacy and data security but also enhances network traffic, as it exchanges AI model updates (model weights and biases) for global collaborative AI modeling. …”
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Why don’t we share? Social networks and privacy concerns, a comparative analysis of academics of communication field in Turkiye and Malaysia by Betül Önay Doğan, Nihal Kocabay Şener, Selçuk Kıran, Hasrina Mustafa

“…The findings obtained from both data collection tools were evaluated and the relation between the qualitative and quantitative data was discussed. …”
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Multimedia privacy protection: an N-round cascaded cryptosystem based on merged multi-chaotic maps under various image attacks by Tarek Srour, Ali M. El-Rifaie, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm, Bilel Neji

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Swarm learning network for privacy-preserving and collaborative deep learning assisted diagnosis of fracture: a multi-center diagnostic study by Yi Xie, Yi Xie, Xinmeng Wang, Huiwen Yang, Huiwen Yang, Jiayao Zhang, Honglin Wang, Zineng Yan, Jiaming Yang, Zhiyuan Yan, Zhiwei Hao, Pengran Liu, Yijie Kuang, Zhewei Ye, Zhewei Ye

“…BackgroundWhile artificial intelligence (AI) has revolutionized medical diagnostics, conventional centralized AI models for medical image analysis raise critical concerns regarding data privacy and security. Swarm learning (SL), a decentralized machine learning framework, addresses these limitations by enabling collaborative model training through secure parameter aggregation while preserving data locality. …”
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Legitimacy of investigative forensic genetic genealogy under Art. 8 ECHR by Oliver M. Tuazon, Bart Custers, Gerrit-Jan Zwenne

“…The proportionality of its use largely depends on the provision of appropriate safeguards in an iFGG-enabling law that would protect genetic data privacy. …”
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Privacy Matters: Experiences of Rural and Remote Emergency Department Patients – A Mixed-Methods Research Conducted in Newfoundland and Labrador, Canada by Aswathy Geetha Manukumar, Matthew Miller, Christopher Patey, Hensley H Mariathas, Nahid Rahimipour Anaraki, Anna Walsh, Oliver Hurley, Dorothy Senior, Holly Etchegary, Paul Norman, Peter Wang, Shabnam Asghari

“…Methods: This study used a mixed-methods design, gathering quantitative and qualitative data using a telephone survey and semi-structured interviews. …”
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