Securing face images in UAV networks using chaos and DNA cryptography approach by Saba Inam, Shamsa Kanwal, Eaman Amin, Omar Cheikhrouhou, Monia Hamdi

“…Abstract In future applications of UAVs, the frequent transmission of image data raises significant security concerns, particularly regarding the privacy of facial information. …”
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A clustering-based approach for classifying data streams using graph matching by Yuxin Du, Mingshu He, Xiaojuan Wang

“…Abstract In response to challenges such as data encryption, uneven distribution, and user privacy concerns in network traffic classification, this paper presents a clustering-based approach.In response to challenges such as data encryption, uneven distribution, and user privacy concerns in network traffic classification, this paper presents a clustering-based approach. …”
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PK-Judge: Enhancing IP Protection of Neural Network Models Using an Asymmetric Approach by Wafaa Kanakri, Brian King

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Synthetic healthcare data utility with biometric pattern recognition using adversarial networks by Adil O. Khadidos, Hariprasath Manoharan, Alaa O. Khadidos, Shitharth Selvarajan, Subhav Singh

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On the edge of glory (…or catastrophe): regulation, transparency and party democracy in data-driven campaigning in Québec by Eric Montigny, Philippe Dubois, Thierry Giasson

“…They have all massively integrated data-driven campaigning practices. This article identifies factors that could explain the increasing pressure to regulate Québec’s political parties’ uses of large sets of digital voter information. …”
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“By browsing this site, you accept cookies”: Research on the cookie usage permissions of news sites in Türkiye by Murat Uluk

“…Particularly in recent years, increasing awareness levels about personal data, digital privacy studies, and legal regulations have raised concerns about the use of cookies. …”
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Prexion: Probabilistic Matching-Based Compression to Mitigate Compression Side Channel Attacks Against HTTPS by Hyoungshick Kim, Sangwon Hyun

“…Web servers typically use data compression and encryption to optimize data transmission and protect user privacy. …”
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Secure and trusted data sharing in smart healthcare using blockchain and IoT integration by Soubhagya Ranjan Mallick, Srichandan Sobhanayak, Rakesh Kumar Lenkar

“…A device proxy monitors potentially vulnerable IoT devices and uses cryptography to ensure that data remains private. …”
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Effective deep learning aided vehicle classification approach using Seismic Data by Sherief Hashima, Mohamed H. Saad, Ahmad B. Ahmad, Takeshi Tsuji, Hamada Rizk

“…Our approach achieves an impressive accuracy of 99.8%, underscoring its potential for robust and precise VC in ITSs using seismic data, particularly in data-scarce scenarios. …”
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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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ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

“…Telemedicine is a form of healthcare delivery that employs communication technology to provide medical care to patients remotely. The use of telemedicine has seen a significant increase in recent years, presenting challenges such as patient privacy, data security, the need for reliable communication technology, and the potential for misdiagnosis without a physical examination. …”
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Secure K-Means Clustering Scheme for Confidential Data Based on Paillier Cryptosystem by Zhengqi Zhang, Zixin Xiong, Jun Ye

“…The protocol uses the additive homomorphism property of the Paillier cryptosystem to perform K-means clustering on the encrypted data, which ensures the confidentiality of the data during the whole calculation process. …”
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PERSONAL DATA PROTECTION ISSUE REFLECTED IN THE CASE-LAW OF THE CONSTITUTIONAL COURT OF ROMANIA by Valentina BĂRBĂȚEANU

“…Over the past few years, data privacy became more and more an issue that stirred on European level lots of debates and determined the adoption of a new set of rules, imposed with the compulsory force of a European regulation. …”
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A Set of Tools and Data Management Framework for the IoT–Edge–Cloud Continuum by Janis Judvaitis, Eduards Blumbergs, Audris Arzovs, Andris Ivars Mackus, Rihards Balass, Leo Selavo

“…The approach of the IECC Data Management Framework (DMF) introduces a novel combination of multiple easy-to-configure plugin environments using data visualization features. …”
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SAFED: secure and adaptive framework for edge-based data aggregation in IoT applications by Zaineb Naaz, Gamini Joshi, Vidushi Sharma

“…Based on requirements, the control center decrypts the aggregated data using its private key. Employing the Paillier cryptosystem for encryption and RSA for authentication, SAFED is fault-tolerant, maintaining functionality even if some IoT nodes fail. …”
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Complexity analysis and practical resolution of the data classification problem with private characteristics by David Pantoja, Ismael Rodríguez, Fernando Rubio, Clara Segura

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BeyondLife: An Open-Source Digital Will Solution for Posthumous Data Management by Xinzhang Chen, Arash Shaghaghi, Jesse Laeuchli, Salil S. Kanhere

“…Managing posthumous data is becoming an increasingly complex challenge, with many existing technical solutions proving impractical in real-world applications. …”
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Privacy-Preserving Federated Class-Incremental Learning by Jue Xiao, Xueming Tang, Songfeng Lu

“…For privacy protection, we use Bayesian differential privacy to provide more balanced privacy protection for different datasets. …”
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Wasserstein GAN for moving differential privacy protection by Enze Liu, Zhiguang Chu, Xing Zhang

“…Abstract Training machine learning models often requires large datasets, but using sensitive data for training poses risks of privacy leakage. …”
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Marketing Implications of Information Society Privacy Concerns by Gheorghe ORZAN, Călin VEGHEŞ, Cătălin SILVESTRU, Mihai ORZAN, Ramona BERE

“…The Internet has facilitated access to intimate user knowledge for both official and private agents and most of modern marketing strategies are based on a wealth of personal user data used to target its specific needs and expectations, a process that has its obvious pros and cons, which have been heavily debated intensively in both academic and social venues. …”
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