Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models by Luis H. T. Bandoria, Walquiria N. Silva, Madson C. De Almeida

“…However, the impact of data normalization on their performance remains insufficiently explored. …”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

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Automated redaction of names in adverse event reports using transformer-based neural networks by Eva-Lisa Meldau, Shachi Bista, Carlos Melgarejo-González, G. Niklas Norén

“…Because the Yellow Card data contained few names, we used predictive models to select narratives for training. …”
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Investigating Sensitive Issues in Class Through Randomized Response Polling by Christian Genest, James A. Hanley, Sahir R. Bhatnagar

“…This article provides an introduction to randomized response polling, a technique which was designed to allow for questioning on sensitive issues while protecting the respondent’s privacy and avoiding social desirability bias. It is described in terms that are suitable for presentation and use in any classroom environment. …”
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‘Over Time Everyone’s Gonna Be Open to It’: User Attitudes Toward Security and Privacy in Continuous Authentication for Smart Homes by Heting Wang, Yu-Peng Chen, Dinank Bista, Rodrigo Calvo, Niriksha Regmi, Xuanpu Zhang, Tempestt Neal, Jaime Ruiz, Lisa Anthony

“…Participants also envisioned CA systems that offer more granular permission controls over personal data. Our findings indicate the contextual dependencies in balancing usability with privacy and security concerns. …”
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Internet of Things-Based Anomaly Detection Hybrid Framework Simulation Integration of Deep Learning and Blockchain by Ahmad M. Almasabi, Ahmad B. Alkhodre, Maher Khemakhem, Fathy Eassa, Adnan Ahmed Abi Sen, Ahmed Harbaoui

“…However, with new technologies and services, the issue of privacy and data security has become more urgent. …”
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Evaluation of Adblock Software Usage by Anna Sołtysik-Piorunkiewicz, Artur Strzelecki, Edyta Abramek

“…The study was based on data obtained by a web questionnaire. The research was focused on evaluation of adblocking software usage factors in five categories: (1) gender, age, and education; (2) use of advertising and sources of knowledge about advertising; (3) technical and social reasons for blocking online advertisements; (4) usage of an adblock-wall; and (5) type of online advertisement. …”
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Employing Ontology-Alignment and Locality-Sensitive Hashing to Improve Attribute Interoperability in Federated eID Systems by Walter Priesnitz Filho, Carlos Ribeiro, Thomas Zefferer

“…In addition, the improvement obtained in the alignment process by combining the two assessment winners does not impact negatively the privacy of the user’s data, since no clear-text data is exchanged in the alignment process.…”
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Trust and Privacy Concerns Among Cancer Survivors Who Did Not Visit a Research Website Offering Free Genetic Counseling Services for Families: Survey Study by James A Shepperd, Colleen M McBride, Weihua An, Jingsong Zhao, Rebecca D Pentz, Cam Escoffery, Kevin Ward, Yue Guan

“…ObjectiveWe designed a theory-based cross-sectional survey to explore the following questions: (1) To what extent did nonresponders endorse privacy concerns? (2) Were privacy concerns associated with recall of receiving the website invitation, time since diagnosis, age, and race? …”
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LightLSB: a lightweight secure transmission mechanism for large-scale biometric images in computing limited environment by ZHANG Denghui, SHEN Shengshang, YAO Jiefeng, LI Mohan, LI Aiping

“…The widespread use of biometric recognition has intensified social concerns about personal privacy disclosure. …”
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Big data transfer service architecture for cloud data centers: problems, methods, applications, and future trends by Muhammad Umar Majigi, Ismaila Idris, Shafi’i Muhammad Abdulhamid, Richard A. Ikuesan

“…After thoroughly screening selected peer-reviewed articles, the primary open issues are: incorporating a data placement module in the data transfer service, providing end-to-end safeguards for packet delivery, improving data transfer time and speed, minimizing costs and implementation overhead, ensuring secure data transfer between servers in the cloud, demonstrating effective big data transfer architectures, considering topology-specific extensions to reduce the busty nature of data centers, and enhancing data transfer services using machine learning algorithms during upload and download operations. …”
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Federated learning-based semantic segmentation framework for sustainable development by Deepthi Godavarthi, Deepa Jose, Sachi Nandan Mohanty, Mohamed Medani, Mohamed Kallel, Sherzod Abdullaev, M. Ijaz Khan

“…Federated Learning protects user privacy by processing data locally on client devices rather than storing it centrally on a server. …”
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Secure vehicular digital forensics system based on blockchain by Meng LI, Chengxiang SI, Liehuang ZHU

“…The emergence of vehicular big data has brought a great promotion to better understand characteristics of vehicular networks,grasp needs of users and improve service qualities.However,malicious users and criminals leverage vehicular networks to conduct illegal behaviors,resulting in a decline in the service quality and difficulties in determining the liability in vehicle accidents.At the same time,there are still some security and privacy issues in the vehicular digital forensics,such as the identity privacy of the data provider and the request control of the data requester.Therefore,a secure vehicular digital forensics scheme based on blockchain was proposed.Firstly,a data requester registered with a certificate authority and an anonymous certificate was obtained for the subsequent data uploading.Then,the data user obtained the public-private key pair and user key in registration,which were respectively used for the data requesting and data decryption.Only if certain attributes were held,the right plaintext could be decrypted.Next,a consortium blockchain was jointly established by several institutions with high credibility to record all data transactions.Finally,the security and privacy were experimentally analyzed,and the performance was tested based on the Ethereum platform.…”
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Secure vehicular digital forensics system based on blockchain by Meng LI, Chengxiang SI, Liehuang ZHU

“…The emergence of vehicular big data has brought a great promotion to better understand characteristics of vehicular networks,grasp needs of users and improve service qualities.However,malicious users and criminals leverage vehicular networks to conduct illegal behaviors,resulting in a decline in the service quality and difficulties in determining the liability in vehicle accidents.At the same time,there are still some security and privacy issues in the vehicular digital forensics,such as the identity privacy of the data provider and the request control of the data requester.Therefore,a secure vehicular digital forensics scheme based on blockchain was proposed.Firstly,a data requester registered with a certificate authority and an anonymous certificate was obtained for the subsequent data uploading.Then,the data user obtained the public-private key pair and user key in registration,which were respectively used for the data requesting and data decryption.Only if certain attributes were held,the right plaintext could be decrypted.Next,a consortium blockchain was jointly established by several institutions with high credibility to record all data transactions.Finally,the security and privacy were experimentally analyzed,and the performance was tested based on the Ethereum platform.…”
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Dual verifiable cloud storage scheme based on blockchain by Tao FENG, Fanqi KONG, Chunyan LIU, Rong MA, Albettar Maher

“…In response to the problem that in the industrial Internet of things （IIoT）， industrial equipment stored data in the cloud， causing data to be easily tampered with and unable to track malicious users， causing a vicious circle， with the help of the traceability and immutability of the blockchain， a dual verifiable cloud storage scheme based on the blockchain was proposed.Firstly， homomorphic encryption technology was used to encrypt data and upload it to the cloud ， which ensured transmission security and realized data privacy protection.Secondly， the aggregated ciphertext and uploader information were stored on the blockchain， which could effectively avoid the risk of data being tampered with by illegal users， and could trace malicious users to achieve double verification of cloud data integrity.Finally， a safety analysis was carried out to prove that the proposed scheme is safer and more reliable than similar schemes.…”
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Student nurses’ views regarding disclosure of patients’ confidential information by M.C. Matlakala, J.D. Mokoena

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Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning by G Muni Nagamani, Chanumolu Kiran Kumar

“…This system processes over 100,000 messages per second with less than 50 ms of inference latency to enable the prompting of clinical responses. We use Federated Learning combined with Differential Privacy to solve our data security and privacy tasks. …”
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Deconstructing Bentham’s Panopticon: The New Metaphors of Surveillance in the Web 2.0 Environment by Manuela Farinosi

“…This article reflects on the meaning of the words “control” and “privacy” in light of the intensive diffusion of user generated content on the web. …”
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Calibrated optional randomized response techniques for efficient and robust estimation of quantitative sensitive variables by Ahmed Audu, Mojeed Abiodun Yunusa, Maggie Aphane, Maria Lekganyane

“…Numerical applications using both real and simulated data supported the theoretical findings, demonstrating that the C-ORRT models exhibited lower biases, reduced variances, higher relative efficiency, enhanced privacy levels, and a better combined metric of variance and privacy. …”
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User Centric Android Application Permission Manager by Belal Amro, Zaid Abu Znaid

“…Like other systems, mobile devices are prune to different attacks that might invade user’s privacy and lead to private data leakage. Millions of Mobile application have been developed and used Worldwide, most of them are requiring permissions to work properly. …”
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