Using Artificial Intelligence to Predict Customer Satisfaction with E-Payment Systems during the COVID-19 Pandemic by Samer H. Atawneh, Nawaf N. Hamadneh, Jamil J. Jaber, S. Al Wadi, Waqar A. Khan

“…Descriptive analytical approach of a sample of 1,025 people living in Saudi Arabia was used to answer the study questions and test its hypotheses. …”
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Improving Transformer Performance for French Clinical Notes Classification Using Mixture of Experts on a Limited Dataset by Thanh-Dung Le, Philippe Jouvet, Rita Noumeir

“…The MoE-Transformer addresses the dual challenges of effective training with limited data and low-resource computation suitable for in-house hospital use. …”
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Insights From Art Therapists on Using AI-Generated Art in Art Therapy: Mixed Methods Study by Fereshtehossadat Shojaei, Fatemehalsadat Shojaei, John Osorio Torres, Patrick C Shih

“…MethodsUsing a co-design approach, 10 art therapists affiliated with the American Art Therapy Association participated in this study. …”
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A Non-Invertible Secure Template Generation Using AES Encrypted MCC and Random Triangle Projection by Mohd Imran, Mohammad Sarosh Umar, Furkan Ahmad

“…In recent years, due to the exponential growth in the applicability of biometric authentication systems, it has become essential to address the privacy and security concerns of user biometric information. …”
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Real-Time Acoustic Scene Recognition for Elderly Daily Routines Using Edge-Based Deep Learning by Hongyu Yang, Rou Dong, Rong Guo, Yonglin Che, Xiaolong Xie, Jianke Yang, Jiajin Zhang

“…Traditional acoustic scene monitoring systems that rely on cloud computing are limited by data transmission delays and privacy concerns. Hence, this study proposes an acoustic scene recognition system that integrates edge computing with deep learning to enable real-time monitoring of elderly individuals’ daily activities. …”
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A Reference Model of GaaP Readiness Indexes Using Systematic Review and Meta-Synthesis Method by Sayyed Mahdi Razavi, Sahar Kousari, Roozbeh Balounejad Nouri, Fatemeh Saghafi

“…This is a qualitative study and a systematic review of the literature in which the meta-synthesis method is used to analyze and analyze the data extracted from selected sources. …”
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The Ways of Using Social Media for Health Promotion Among Adolescents: Qualitative Interview and Focus Group Study by Elizabeth Zimmermann, Samuel Tomczyk

“…In addition, 5 individual interviews with boys were carried out to balance gender representation, as boys were less vocal in group settings. Data were analyzed using content analysis with a combined deductive-inductive coding approach in MAXQDA software, achieving high intercoder reliability (Cohen κ=0.93). …”
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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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Acceptability of and Willingness to Use Virtual Reality Exergames for Weight Loss Among Young Adults With Overweight or Obesity in China: Qualitative Study by Yanya Chen, Bingsheng Guan, Yaqi Zhang, Suen Chow Lee, Jia-yu Liu, Sicun Li, Ming Liu, Xiaoshen Zhang, Wai-kit Ming

“…ResultsFour main themes and 8 subthemes emerged from the data. The main themes included perception of previous weight loss measures (regarded exercise and diet as the main measures for weight loss and difficulties in holding on to the weight loss methods), acceptability of virtual reality exergames (increasing opportunities for exercise, a powerful means for propelling doing exercise, positive impact on psychological well-being, and more appealing to office workers than students), willingness to use virtual reality exergames, and concerns (weight loss effect and other concerns). …”
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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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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

“…In this study, we applied the proposed simulation to the proposed hybrid framework, making use of deep learning to continue monitoring IoT data; we also used the blockchain association in the framework to log, tackle, manage, and document all of the IoT sensor’s data points. …”
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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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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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‘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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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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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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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

“…The survey was brief and contained 27 items, including recall of the invitation, interest in ovarian cancer information, benefits of using health websites, trust in health websites, and trust in university-based health research. …”
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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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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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