Secure deduplication and integrity audit system based on convergent encryption for cloud storage by Xiao-yong GUO, An-min FU, Bo-yu KUANG, Wei-jia DING

“…Cloud storage applications quickly become the best choice of the personal user and enterprise storage with its convenience,scalability and other advantages,secure deduplication and integrity auditing are key issues for cloud storage.At first,convergent key encapsulation/decoupling algorithm based on blind signature was set up,which could securely store key and enable it to deduplicate.Besides,a BLS signature algorithm based on convergence key was provided and use TTP to store public key and proxy audit which enables signature and pubic key deduplication and reduces client storage and computing overhead.Finally,cloud-based secure deduplicaion and integrity audit system was designed and implemented.It offered user with data privacy protection,deduplication authentication,audit authentication services and lowered client and cloud computation overhead.…”
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Law Enforcement of Cybercrime: Tracking Digital Footprints of Cross-Border Hackers by Idham Qrida Nusa, Bambang Sugiri, Yuliati Yuliati, Faizin Sulistio

“…The analysis highlights the use of cloud storage as a media to store the proceeds of crime, in the form of data privacy. …”
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Towards Tamper-Proof Trust Evaluation of Internet of Things Nodes Leveraging IOTA Ledger by Assiya Akli, Khalid Chougdali 

“…To overcome these obstacles, this study offers a novel approach for evaluating trust that uses IOTA Tangle technology. By decentralizing the trust evaluation process, our approach reduces the risks related to centralized solutions, including privacy violations and single points of failure. …”
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A balancing act: exploring ethical and legal concerns associated with release of personal information in alert systems for missing persons with dementia by Adebusola Adekoya, Christine Daum, Antonio Miguel-Cruz, Lili Liu

“…We conducted a thematic analysis of the interview data to inductively explore ethical and legal concerns. …”
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Integrating Machine Learning and IoT for Effective Plant Disease Management by Bhoi Manjulata, Dubey Ahilya

“…Further, the framework is structured for privacy of data and security using strong encryption and secure access protocols. …”
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Platform framework for blockchain-enhanced healthcare AIoT systems by Minhee Jun

“…Theoretical analysis demonstrates that the use of a sharding blockchain significantly enhances memory efficiency and reduces data retrieval time in healthcare AIoT applications. …”
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Regulating cryptocurrencies in a post-pandemic global economy: A comparative legal analysis of the EU, the US, and Russia by Lana Stern

“…Drawing on a comparative analysis of Russia, the European Union, the United States, and Malta, it evaluates the effectiveness of CBDC-integrated anti-money laundering (AML) mechanisms in addressing the three key stages of illicit finance: placement, layering, and integration. Using primary sources, including pilot program data, legislative texts, and policy consultations, alongside secondary academic literature, the Study explores how design elements such as ledger visibility, programmable transaction limits, sanctions screening, and tiered privacy structures can be embedded into CBDC infrastructure. …”
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Enhancing Software Sustainability: Leveraging Large Language Models to Evaluate Security Requirements Fulfillment in Requirements Engineering by Ahmad F. Subahi

“…In the digital era, cybersecurity is integral for preserving national security, digital privacy, and social sustainability. This research emphasizes the role of non-functional equirements (NFRs) in developing secure software systems that enhance societal wellbeing by ensuring data protection, user privacy, and system robustness. …”
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An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption by Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin

“…With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a robust approach that leverages homomorphic encryption (HE) to ensure data confidentiality during decentralized training. …”
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Dual defense: Combining preemptive exclusion of members and knowledge distillation to mitigate membership inference attacks by Jun Niu, Peng Liu, Chunhui Huang, Yangming Zhang, Moxuan Zeng, Kuo Shen, Yangzhong Wang, Suyu An, Yulong Shen, Xiaohong Jiang, Jianfeng Ma, He Wang, Gaofei Wu, Anmin Fu, Chunjie Cao, Xiaoyan Zhu, Yuqing Zhang

“…Membership inference (MI) attacks threaten user privacy through determining if a given data example has been used to train a target model. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Hot topics included big data, cloud, edge, multimedia, security, privacy, QoS, and activity recognition, while critical domains included industry, healthcare, agriculture, transportation, smart homes and cities, and assisted living. …”
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Examining Factors Impacting Online Survey Response Rates in Educational Research: Perceptions of Graduate Students by Amany Saleh, Krishna Bista

“…The authors used descriptive statistics (percentage, average mean) and inferential statistics (chi-square and correlations) to report the data analysis and findings. …”
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How do strategic attributes of electronic commerce impel the perceived value and electronic loyalty of online food delivery applications (OFDAs) by Muhammad Asif Zaheer, Tanveer Muhammad Anwar, Zoia Khan, Muhammad Ali Raza, Hira Hafeez

“…Design/methodology/approach – The study was quantitative and data were collected from 509 consumers of the district of Rawalpindi, Punjab Pakistan by using a convenience sampling technique who was the users of OFDAs to evaluate the proposed research model. …”
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HIV Self-Testing among Men Who Have Sex with Men (MSM) in the UK: A Qualitative Study of Barriers and Facilitators, Intervention Preferences and Perceived Impacts. by T Charles Witzel, Alison J Rodger, Fiona M Burns, Tim Rhodes, Peter Weatherburn

“…The window period was the most important element of an HIVST, with strong preference for 4th generation testing. Kits which used a blood sample were more popular than those using saliva due to higher perceived accuracy although phobia of needles and/or blood meant some would only access HIVST if a saliva sample option was available. …”
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Artificial Intelligence in Healthcare: Medical Students' Perspectives on Balancing Innovation, Ethics, and Patient-Centered Care by Eleanor Roy, Sara Malafa, Lina M. Adwer, Houda Tabache, Tanishqa Sheth, Vasudha Mishra, Moaz Elsayed Abouelmagd, Andrea Cushieri, Sajjad Ahmed Khan, Mihnea-Alexandru Gaman, Juan C. Puyana, Francisco Javier Bonilla-Escobar

“…Additionally, concerns about data ownership, consent, and commercial use of patient information demand renewed attention to privacy and transparency. …”
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The Intersection of AI, Ethics, and Journalism: Greek Journalists’ and Academics’ Perspectives by Panagiota (Naya) Kalfeli, Christina Angeli

“…Regarding ethical concerns, there is evident skepticism and caution among journalists and academics about issues, such as, data bias, transparency, privacy, and copyright, which are further intensified by the absence of a regulatory framework.…”
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Exploring internal challenges and coping strategies in online English learning via Google Meet: A study of 7th grade students in Yogyakarta by Bambang Widi Pratolo, Liza Beliarita, Naif Daifullah Alsulami

“…Data were collected through interviews and documentation, with pseudonyms used to protect students' privacy. …”
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Exploring the Barriers and Facilitators to Implementing a Smartphone App for Physicians to Improve the Management of Acute Myocardial Infarctions: Multicenter, Mixed Methods, Obser... by Katelyn J Cullen, Hassan Mir, Madhu K Natarajan, Marija Corovic, Karen Mosleh, Jacob Crawshaw, Mathew Mercuri, Hassan Masoom, JD Schwalm

“…The surveys identified key barriers around technology, privacy, and access to required Wi-Fi that needed to be addressed during app implementation to facilitate uptake and use. …”
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Improving the Accuracy of mmWave Radar for Ethical Patient Monitoring in Mental Health Settings by Colm Dowling, Hadi Larijani, Mike Mannion, Matt Marais, Simon Black

“…Our solution uses an unscented Kalman filter for target tracking over time and analyses features of movement to determine whether targets are human or not. …”
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The Influence of Fintech on the National Security System: Law, Economic Potential and Digital Defense Strategy by Ngasiman Djoyonegoro, Muhammad Noor Harisudin, Hariyanto Hariyanto

“…Governments need to implement stringent regulations to safeguard Fintech user data and privacy and closely supervise Fintech operations to mitigate the risks of financial technology misuse. …”
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