This paper surveys blockchain-based approaches for several security services. These
services include authentication, confidentiality, privacy and access control list, data and …

Abstract The dissemination of Electronic Health Records (EHRs) can be highly beneficial for
a range of medical studies, spanning from clinical trials to epidemic control studies, but it …

Federated learning is generally used in tasks where labels are readily available (eg, next
word prediction). Relaxing this constraint requires design of unsupervised learning …

Recent technologies, such as IoT, social networks, cloud computing, and data analytics,
make today possible to collect huge amounts of data. However, for data to be used to their …

Preserving individual privacy when publishing data is a problem that is receiving increasing
attention. According to the fc-anonymity principle, each release of data must be such that …

This paper aims at answering the following two questions in privacy-preserving data
analysis and publishing. The first is: What formal privacy guarantee (if any) does k …

Mining health data can lead to faster medical decisions, improvement in the quality of
treatment, disease prevention, and reduced cost, and it drives innovative solutions within the …

Trajectory datasets are becoming more and more popular due to the massive usage of GPS
and other location-based devices and services. In this paper, we address privacy issues …

In privacy preserving data mining, the l‐diversity and k‐anonymity models are the most
widely used for preserving the sensitive private information of an individual. Out of these two …

The advent of social network sites in the last years seems to be a trend that will likely
continue. What naive technology users may not realize is that the information they provide …