Sensitivity-Aware Differential Privacy for Federated Medical Imaging by Lele Zheng, Yang Cao, Masatoshi Yoshikawa, Yulong Shen, Essam A. Rashed, Kenjiro Taura, Shouhei Hanaoka, Tao Zhang

“…However, recent studies revealed that merely sharing gradients provides a false sense of security, as private information can still be inferred through gradient inversion attacks (GIAs). While differential privacy (DP) provides provable privacy guarantees, traditional DP methods apply uniform protection, leading to excessive protection for low-sensitivity data and insufficient protection for high-sensitivity data, which degrades model performance and increases privacy risks. …”
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Customer adoption of smartwatches – a privacy calculus perspective by Ajay Kumar, Parvez Ahmad, Daruri Venkata Srinivas Kumar, Megha Gupta

“…The authors collected 310 responses using a structured questionnaire; after data cleaning, 270 responses were used for data analysis. …”
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Federated Learning for Privacy-Preserving Employee Performance Analytics by Jay Barach

“…This paper introduces HFAN-Priv, a hierarchical federated attention network designed to predict employee resignation risk and evaluate performance trends without sharing raw data across organizations. The framework integrates feature-level and instance-level attention to model complex workforce patterns, applies differential privacy through gradient masking to ensure compliance with data protection regulations, and enhances interpretability using local SHAP and LIME explanations. …”
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Privacy for Process Mining: A Systematic Literature Review by Ibrahim Ileri, Tugba Gurgen Erdogan, Ayca Kolukisa-Tarhan

“…However, privacy preservation issues arise when handling such data. …”
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Information Security and Privacy Management in Intelligent Transportation Systems by Mariia Bakhtina, Raimundas Matulevičius, Lukaš Malina

“…First, the framework is used to extract data during the literature review defining state-of-the-art aspects and measures. …”
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Expedite Privacy-Preserving Emergency Communication Scheme for VANETs by Long Chen, Xuedan Jia, Lixia Meng, Liangmin Wang

“…But requirements of information collection and data transmission in emergency scenario are very imperative. …”
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Aerial pathways to resilience: the acceptance of drones in logistics transformation by Sofia Gomes, João M. Lopes, Tiago Trancoso

“…This study examines the determinants of consumer acceptance of drone delivery services, focusing on the roles of perceived usefulness, ease of use, and privacy concerns. We collected data from 1,108 Portuguese consumers through an online survey to assess how these factors influence consumer attitudes and intentions toward adopting drone delivery services. …”
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Examining the applicability of hard data protection law on demographically identifiable information (DII): the case of humanitarian UAV/drone images in Malawi by Rogers Alunge Alunge Nnangsope

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Machine Learning Adoption in Blockchain-Based Smart Applications: The Challenges, and a Way Forward by Sudeep Tanwar, Qasim Bhatia, Pruthvi Patel, Aparna Kumari, Pradeep Kumar Singh, Wei-Chiang Hong

“…The decentralized database in BT emphasizes data security and privacy. Also, the consensus mechanism in it makes sure that data is secured and legitimate. …”
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A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications by Anik Sen, Swee-Huay Heng, Shing-Chiang Tan

“…Federated Learning (FL) introduces a decentralised machine learning paradigm whereby models can be trained over distributed nodes without sharing data. Despite its promise, FL faces significant security challenges, such as gradient inversion, model poisoning, and privacy leakage, which involve strong cryptographic techniques. …”
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The Nature of the Right to Personal Data: A Civil Law Perspective by L. V. Shvets

“…This paper aims to examine the nature of the right to personal data. Based on an analysis of Russian legislation, the Author concludes that there exists an unnamed, independent subjective right, which serves to enable the data subject to control and define the conditions for data processing, as well as to protect personal data from unauthorized use. …”
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Human Daily Indoor Action (HDIA) Dataset: Privacy-Preserving Human Action Recognition Using Infrared Camera and Wearable Armband Sensors by Jongbum Park, Kyoung Ok Yang, Sunme Park, Jun Won Choi

“…The use of IR sensors enhances privacy, making the dataset ethically suitable for long-term monitoring. …”
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Trajectory differential privacy protection mechanism based on prediction and sliding window by Ayong YE, Lingyu MENG, Ziwen ZHAO, Yiqing DIAO, Jiaomei ZHANG

“…To address the issues of privacy budget and quality of service in trajectory differential privacy protection,a trajectory differential privacy mechanism integrating prediction disturbance was proposed.Firstly,Markov chain and exponential perturbation method were used to predict the location which satisfies the differential privacy and temporal and spatial security,and service similarity map was introduced to detect the availability of the location.If the prediction was successful,the prediction location was directly used to replace the location of differential disturbance,to reduce the privacy cost of continuous query and improve the quality of service.Based on this,the trajectory privacy budget allocation mechanism based on w sliding window was designed to ensure that any continuous w queries in the trajectory meet the ε-differential privacy and solve the trajectory privacy problem of continuous queries.In addition,a privacy customization strategy was designed based on the sensitivity map.By customizing the privacy sensitivity of semantic location,the privacy budget could be customized to improve its utilization.Finally,the validity of the scheme was verified by real data set experiment.The results illustrate that it offers the better privacy and quality of service.…”
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Hybrid blowfish cryptography with elliptic curve Diffie-Hellman key exchange protocol for enhancing data security and performance by K. Vignesh Saravanan, G. Sakthi Priya

“…The performance depends on factors such as Recall, Ranking Privacy, Precision, Searching Speed. The proposed algorithm efficiently retrieves the required data maintaining the privacy and identifies the relevant data at high accuracy and optimal speed. …”
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Cross-Company Data Sharing Using Distributed Analytics by Soo-Yon Kim, Stefanie Berninger, Max Kocher, Martin Perau, Sandra Geisler

“…Furthermore, we find that the framework supports integration of data quality assessment and privacy preservation mechanisms. …”
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New blockchain consensus algorithm applied on healthcare industry: Proof of Visit- (POV) by Çetin Şahin, Muhammed Ali Aydin, Ahmet Sertbaş

“…Sharing personal EHR without the citizen’s consent can lead to data privacy issues. In systems where patient data is centrally stored, software changes can cause problems such as loss of patient data. …”
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Identification of hazardous road locations using ambulance data by Anne Vingaard Olesen, Tim Alex Lindskou, Rasmus Øhlenschlæger, Torben Anders Kløjgaard, Anders Brogaard Tallaksen, Jens Lauritsen, Erika Frischknecht Christensen, Harry Lahrmann

“…Results: Compared to police data in the same study period, we found 3.2 times as many unique crash sites through the use of combined hospital patient and ambulance data. …”
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Optimizing Customer Data Security in Water Meter Data Management Based on RESTful API and Data Encryption Using AES-256 Algorithm by Syahrul Adrianto, Bambang Agus Herlambang, Ramadhan Renaldy

“…To increase the security of customer data, a cryptographic algorithm is used, namely the Advanced Encryption Standard (AES) algorithm with a 256-bit key length to secure data that is considered sensitive and contains high privacy. …”
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Federated Mental Wellbeing Assessment Using Smartphone Sensors Under Unreliable Participation by Gavryel Martis, Ryan McConville

“…The findings suggested that given the widespread use of such devices, FL holds great potential in mood and depression detection while protecting data privacy. …”
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Data protection impact assessment system in the mode of risk management by Ying CHENG

“…In the era of big data,the risk management approach has been broadly applied in the field of personal information protection.Data protection impact assessment has become an important system to promote data protection.It takes the provisions of the data protection impact assessment of the European General Data Protection Regulation (GDPR) 2016 as the sample.By using the literature research and empirical analysis method,it analyzes in depth the theoretical background,rise and evolution,meaning and scope of data protection impact assessment to establish a standardized and specific impact assessment system as well as promote personal information protection.Assessment content includes not only privacy risk assessment,but also data security,data quality and non-discrimination.Data protection impact assessment should be set as a mandatory obligation for data processing activities that are likely to result in high risks.The evaluation process shall take the advices from stakeholders to reflect their benefits.The external supervision should be strengthened and the assessment report shall be published properly.…”
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