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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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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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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Blockchain-powered wireless sensor networks: enhancing security and privacy in the IoT era by Ibrahim Mekawy

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A multimodal differential privacy framework based on fusion representation learning by Chaoxin Cai, Yingpeng Sang, Hui Tian

“…Then based on this representation, we use the Local Differential Privacy (LDP) mechanism to protect data. …”
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Redefining customer connections in the UAE’s digital era: A study on emerging technological synergies by Hussam Ali, Ehab Haikal

“…Ethical concerns, including data privacy and algorithmic bias, received a mean score of 3.75, while sustainability challenges, such as e-waste and energy consumption, scored the lowest (mean = 3.20, SD = 0.85). …”
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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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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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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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Children's digital privacy on fast-food and dine-in restaurant mobile applications. by Christine Mulligan, Grace Gillis, Lauren Remedios, Christopher Parsons, Laura Vergeer, Monique Potvin Kent

“…Restaurant mobile applications are powerful platforms for collecting users' data and are popular among children. This study aimed to provide insight into the privacy policies of top dine-in and fast-food mobile apps in Canada and data collected on child users. …”
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Jointly Achieving Smart Homes Security and Privacy through Bidirectional Trust by Osman Abul, Melike Burakgazi Bilgen

“…Once approved, users are primarily concerned about privacy protection (i.e., user-to-system trust) when utilizing system services that require sensitive data for their functionality. …”
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Challenges in IoMT Adoption in Healthcare: Focus on Ethics, Security, and Privacy by Alton Mabina, Neo Rafifing, Boago Seropola, Thapelo Monageng, Pulafela Majoo

“…This study highlights ethical, security, and privacy barriers to IoMT adoption in developing countries and proposes strategies like regulatory frameworks, data encryption, AI transparency, and professional training to address these challenges. …”
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GuardianML: Anatomy of Privacy-Preserving Machine Learning Techniques and Frameworks by Nges Brian Njungle, Eric Jahns, Zhenqi Wu, Luigi Mastromauro, Milan Stojkov, Michel A. Kinsy

“…Machine learning has become integral to our lives, finding applications in nearly every aspect of our daily routines. However, using personal information in machine learning applications has raised concerns about user data privacy and security. …”
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PRIVocular: Enhancing User Privacy Through Air-Gapped Communication Channels by Anastasios N. Bikos

“…Our pre-prototyped framework can provide such privacy preservation (namely <i>virtual proof of privacy (VPP)</i>) and visually secure data transfer promptly (<1000 ms), as well as the physical distance of the smart glasses (∼50 cm).…”
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Location Privacy-Preserving Channel Allocation Scheme in Cognitive Radio Networks by Hongning Li, Qingqi Pei, Wenjing Zhang

“…In this paper, to make full use of idle spectrum with low probability of location leakage, we propose a Location Privacy-Preserving Channel Allocation (LP-p CA) scheme. …”
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A Privacy-Preserving Querying Mechanism with High Utility for Electric Vehicles by Ugur Ilker Atmaca, Sayan Biswas, Carsten Maple, Catuscia Palamidessi

“…Simultaneously, personal data use for analytics is growing at an unprecedented rate, raising concerns for privacy. …”
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PPSC: High-Precision and Scalable Encrypted Privacy-Preserving Speech Classification by WANG Leilei, SONG Kao, ZHANG Yuanyuan, BI Renwan, XIONG Jinbo

“…Secondly, the PPSC scheme securely implements the fundamental modules such as the convolutional layer, ReLU layer, average pooling layer, fully connected layer, and Softmax layer. This ensures the privacy of speech data, speech classification models, and intermediate computing results. …”
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Ensuring the security and privacy of information in mobile health-care communication systems by Ademola Adesina, Kehinde Agbele, Ronald Februarie, Ademola Abidoye, Henry Nyongesa

“…The sensitivity of health-care information and its accessibility via the Internet and mobile technology systems is a cause for concern in these modern times. The privacy, integrity and confidentiality of a patient's data are key factors to be considered in the transmission of medical information for use by authorised health-care personnel. …”
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