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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THE IMPACT OF DATA SECURITY ON THE INTENTION OF VIETNAMESE CONSUMERS TO USE E-WALLETS by Thi Thu Huong Hoang, Hoang Nam Vu, Thi Khanh Chi Nguyen

“…This article studies the impact of data security on consumer intentions to use e-wallets in the rapidly growing economy of Vietnam. …”
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A Qualitative Study of Researchers Perspective on the Use and Risks of Open Government Data by Emigawaty Emigawaty, Dinda Sukmaningrum, Wiji Nurastuti

“…This study aims to review the potential risks of data openness on government data portals from the perspective of researchers as one of the important actors who use data. …”
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Human Behavior Analysis Using Radar Data: A Survey by Patrycja Miazek, Alicja Zmudzinska, Pawel karczmarek, Adam Kiersztyn

“…In this study, we focus not only on the analysis of human behavior using radar but also on video observations. We review methods of human activity recognition using LiDAR. …”
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Criminalisation of the illegal use of personal data: comparative approaches and the Chinese choice by Zhilong Guo

“…According to policy analysis, in jurisdictions where information technology such as big data and AI is widely available, for example, China, the illegal use of personal data particularly disrupts the community’s sense of security. …”
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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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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 framework combines state-of-the-art machine learning and deep learning models, which are used in both centralized and federated learning configurations, to boost the detection of false data injection attacks in cyber-physical power systems. …”
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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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The digital fingerprint of learner behavior: Empirical evidence for individuality in learning using deep learning by Asaf Salman, Giora Alexandron

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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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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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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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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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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

Older people and the smart city – Developing inclusive practices to protect and serve a vulnerable population by Aaro Tupasela, Juanita Devis Clavijo, Marjut Salokannel, Christoph Fink

“…Using examples from three European locations – Helsinki, Flanders and Santander – we describe and discuss how we can gather personal data related to the daily lives of older people in terms of the existing privacy and data protection laws in the EU. …”
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Securing Decentralized Ecosystems: A Comprehensive Systematic Review of Blockchain Vulnerabilities, Attacks, and Countermeasures and Mitigation Strategies by Md Kamrul Siam, Bilash Saha, Md Mehedi Hasan, Md Jobair Hossain Faruk, Nafisa Anjum, Sharaban Tahora, Aiasha Siddika, Hossain Shahriar

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Public Perceptions of Ethical Challenges and Opportunities for Enterprises in the Digital Age by Ahmad Mansour, Khaled Alshaketheep, Hind Al-Ahmed, Ahmad Shajrawi, Arafat Deeb

“…Statistical analysis demonstrated positive and significant associations: Data privacy and ethical prioritisation (t-value = 45, p < 0.001), Algorithmic ethics and ethical prioritisation (B = 0.35, p = 0.004), Factor analysis identified three critical variables: data privacy and security, ethical algorithms and workforce displacement accounted for 75% of the variance on average. …”
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