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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GraphFedAI framework for DDoS attack detection in IoT systems using federated learning and graph based artificial intelligence by Mohd Anjum, Ashit Kumar Dutta, Ali Elrashidi, Sana Shahab, Asma Aldrees, Zaffar Ahmed Shaikh, Abeer Aljohani

“…Abstract The Internet of Things (IoT) consists of physical objects and devices embedded with network connectivity, software, and sensors to collect and transmit data. The development of the Internet of Things (IoT) has led to various security and privacy issues, including distributed denial-of-service (DDoS) attacks. …”
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Smart Grid IoT Framework for Predicting Energy Consumption Using Federated Learning Homomorphic Encryption by Filip Jerkovic, Nurul I. Sarkar, Jahan Ali

“…Homomorphic Encryption (HE) introduces new dimensions of security and privacy within federated learning (FL) and internet of things (IoT) frameworks that allow preservation of user privacy when handling data for FL occurring in Smart Grid (SG) technologies. …”
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Fused federated learning framework for secure and decentralized patient monitoring in healthcare 5.0 using IoMT by Bassam Almogadwy, Abdulrahman Alqarafi

“…Abstract Federated Learning (FL) enables artificial intelligence frameworks to train on private information without compromising privacy, which is especially useful in the medical and healthcare industries where the knowledge or data at hand is never enough. …”
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Scalable architecture for autonomous malware detection and defense in software-defined networks using federated learning approaches by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

“…This architecture combines SDN’s centralized management of potentially significant data streams with FL’s decentralized, privacy-preserving learning capabilities in a distributed manner adaptable to varying time and space constraints. …”
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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

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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Social Implications of Technological Advancements in Sentiment Analysis: A Literature Review on Potential and Consequences over the Next 20 Years by Daryanto, Ika Safitri Windiarti, Bagus Setya Rintyarna

“…It enables more responsive policy design by understanding public emotions in political and social contexts. However, data privacy, misinformation, and diminished critical thinking persist. …”
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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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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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Social Media Suicide Watch by Katherine Prothro

“…There was an immediate backlash due to concerns over privacy and the potential for stalkers and bullies to misuse this data and encourage suicide or self-harm, like Roy’s girlfriend did. …”
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An Exact Top- Query Algorithm with Privacy Protection in Wireless Sensor Networks by Huang Haiping, Feng Juan, Wang Ruchuan, Qin XiaoLin

“…Aimed at the Top- k query problems in the wireless sensor networks (WSN) where enquirers try to seek the k highest or shortest reported values of the source nodes, using privacy protection technology, we present an exact Top- k query algorithm based on filter and data distribution table (shorted for ETQFD). …”
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Redefining customer connections in the UAE’s digital era: A study on emerging technological synergies by Hussam Ali, Ehab Haikal

“…This study investigates the socio-technical implications of IoT integration, particularly its effects on operational efficiency, customer engagement, digital inclusivity, ethical data practices, and sustainability. The research used a quantitative cross-sectional survey conducted from February to April 2024 across the UAE. …”
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Democratic Oversight of Government Hacking by Intelligence Agencies by André Ramiro

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Optimization of machine learning methods for de-anonymization in social networks by Nurzhigit Smailov, Fatima Uralova, Rashida Kadyrova, Raiymbek Magazov, Akezhan Sabibolda

“…Anonymity features are widely used to help individuals maintain their privacy, but they can also be exploited for malicious purposes. …”
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Artificial Intelligence-Driven Facial Image Analysis for the Early Detection of Rare Diseases: Legal, Ethical, Forensic, and Cybersecurity Considerations by Peter Kováč, Peter Jackuliak, Alexandra Bražinová, Ivan Varga, Michal Aláč, Martin Smatana, Dušan Lovich, Andrej Thurzo

“…Current and future developments must focus on securing AI models against attacks, ensuring data integrity, and safeguarding the privacy of individuals within this technological landscape.…”
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