AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection by Fujiang Yuan, Zihao Zuo, Yang Jiang, Wenzhou Shu, Zhen Tian, Chenxi Ye, Junye Yang, Zebing Mao, Xia Huang, Shaojie Gu, Yanhong Peng

“…With the continuous development of technology, blockchain has been widely used in various fields by virtue of its decentralization, data integrity, traceability, and anonymity. …”
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Dynamic and efficient vehicular cloud management scheme with privacy protection by Min XIAO, Tao YAO, Yuanni LIU, Yonghong HUANG

“…The vehicular cloud (VC) formed by vehicles is used for localization processing and consumption of traffic sensing data to achieve timely intelligent traffic management.The vehicle cloud is highly dynamic, self-organizing and timely, in which the identity and location privacy of vehicle users need to be protected as this poses challenges to the vehicular cloud management.A dynamic and self-organizing vehicle cloud management scheme based on the asymmetric group key agreement protocol was designed, where the vehicle cloud is automatically formed through the self-organized group key agreement of vehicles.The group key was used to control the provision and access of vehicle cloud services, and the dynamic management of the vehicle cloud was implemented through group key update.The scheme used traceable one-time pseudonym technology to achieve anonymous authentication and conditional privacy protection of vehicle users, and the group key agreement stage only included one bilinear pair operation to achieve high efficiency.In addition, the key negotiation and update process used lightweight signatures, supporting batch verification, to achieve efficient message source authentication and integrity authentication.Then the security and efficiency of vehicle cloud communications in the self-organizing environment can be ensured.The dynamic key update mechanism of the key agreement protocol realized the dynamic joining or exiting of vehicles in the vehicle cloud, adapting to the dynamic characteristics of the vehicle cloud.Under the random oracle model and the difficult assumption of the inverse computational Diffie Hellman (ICDH) problem, it was proved that the asymmetric group key agreement scheme satisfied the selective-plaintext security.The security analysis shows that the scheme can protect the identity and location privacy of vehicle users, realize the legal tracking of malicious vehicles, and ensure the confidentiality, integrity and anti-counterfeiting of communications, as well as the forward security of vehicle cloud dynamic management.The performance comparison analysis shows that this scheme has certain advantages in communication and computing efficiency under the condition of the same function and security level.…”
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A Novel Approach for Differential Privacy-Preserving Federated Learning by Anis Elgabli, Wessam Mesbah

“…This mechanism preserves privacy both at a “curious” PS or at external eavesdroppers without compromising the performance of the final model at each client, thus mitigating the risk of inversion attacks aimed at retrieving (partially or fully) the clients’ data. …”
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A novel federated learning approach for IoT botnet intrusion detection using SHAP-based knowledge distillation by Md. Alamgir Hossain, Sadman Saif, Md. Saiful Islam

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UniFL: Accelerating Federated Learning Using Heterogeneous Hardware Under a Unified Framework by Biyao Che, Zixiao Wang, Ying Chen, Liang Guo, Yuan Liu, Yuan Tian, Jizhuang Zhao

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Human Behavior Analysis Using Radar Data: A Survey by Patrycja Miazek, Alicja Zmudzinska, Pawel karczmarek, Adam Kiersztyn

“…Transfer learning addresses issues related to data scarcity, while data fusion models integrate information from multiple sources. …”
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Automation of Daily Access Data Recap of Employee Data Tables Using Apps Script to Detect Illegal Activities: by Jong Jek Siang, Rio Rian Rivanka, Argo Wibowo

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The secondary use of the Finnish national health data repository Kanta – opportunities and obstacles by Emmi Eronen, Alpo Olavi Värri, Miika Järvinen

“…While protecting the privacy of the individuals’ data in the Kanta Services, improvements to the secondary use law are suggested. …”
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Federated Deep Learning Model for False Data Injection Attack Detection in Cyber Physical Power Systems by Firdous Kausar, Sambrdhi Deo, Sajid Hussain, Zia Ul Haque

“…This approach enhances both detection accuracy and data privacy, offering a robust solution for FDIA detection in real-world smart grid applications.…”
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Community views on the secondary use of general practice data: Findings from a mixed‐methods study by Annette J. Braunack‐Mayer, Carolyn Adams, Alberto Nettel‐Aguirre, Belinda Fabrianesi, Lucy Carolan, Justin Beilby, Felicity Flack

“…Abstract Introduction General practice data, particularly when combined with hospital and other health service data through data linkage, are increasingly being used for quality assurance, evaluation, health service planning and research. …”
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A Novel Polynomial Activation for Audio Classification Using Homomorphic Encryption by Linh Nguyen, Quoc Bao Phan, Lan Zhang, Tuy Tan Nguyen

“…Audio data often contains sensitive information, raising privacy concerns when using artificial intelligence on cloud platforms. …”
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Anomaly detection in encrypted network traffic using self-supervised learning by Sadaf Sattar, Shumaila Khan, Muhammad Ismail Khan, Ainur Akhmediyarova, Orken Mamyrbayev, Dinara Kassymova, Dina Oralbekova, Janna Alimkulova

“…In this paper, we describe ET-SSL, a new approach for encrypted data anomaly detection which uses self-supervised contrastive learning to identify informative representations in flow level, statistical features like packet length; inter arrival time; flow duration and protocol metadata to Detect anomalies in encrypted network traffic without the need for labelled datasets or payload analysis. …”
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Clinical Simulation Program for the Training of Health Profession Residents in Confidentiality and the Use of Social Networks by Alejandro Martínez-Arce, Alberto Bermejo-Cantarero, Laura Muñoz de Morales-Romero, Víctor Baladrón-González, Natalia Bejarano-Ramírez, Gema Verdugo-Moreno, María Antonia Montero-Gaspar, Francisco Javier Redondo-Calvo

“…After the course, the participants reported intending to modify their behavior when sharing patient data without their consent and with respect to how patients are informed; Conclusions: The use of advanced simulation in the training of interprofessional teams of residents is as an effective tool for initiating attitudinal change and increasing knowledge related to patient privacy and confidentiality. …”
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The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning by Asaf Salman, Giora Alexandron

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Legal grounds for police officers' body-worn cameras by Milidragović Dragan, Milić Nenad, Petrović Zlatko

“…The use of these cameras is based on legal provisions which authorize police officers to record their actions, collect and process personal data. …”
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Analysis of Processing Accidents due to H2S in Clot Stuck Unit of one of the South Pars Refineries Leakage Using Determination of Safe Privacy Approach by M Ebrahemzadih, Farshad Foroghi nasab, M Mortazavi, R Soltani gerdefaramarzi

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Advancing cybersecurity and privacy with artificial intelligence: current trends and future research directions by Krishnashree Achuthan, Sasangan Ramanathan, Sethuraman Srinivas, Raghu Raman

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COVID-19 Tracing Apps as a Legal Problem: An Investigation of the Norwegian ‘Smittestopp’ App by Mona Naomi Lintvedt

“…This raises ethical and legal questions, as these apps have the potential to be used for surveillance of the population. There is pressure to set privacy and data protection aside to allow extensive collection and processing of personal data, while the benefits of the apps remain uncertain. …”
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LOS DERECHOS DIGITALES DEL EMPLEADO PÚBLICO ANTE LAS TRANSFORMACIONES TECNOLÓGICAS Y EL USO DE LA IA EN LOS PROCESOS DE GESTIÓN DE PERSONAS by JOSEFA CANTERO MARTINEZ

Balancing act: Europeans' privacy calculus and security concerns in online CSAM detection by Răzvan Rughiniş, Simona-Nicoleta Vulpe, Dinu Ţurcanu, Daniel Rosner

“…This study examines privacy calculus in online child sexual abuse material (CSAM) detection across Europe, using Flash Eurobarometer 532 data. …”
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