In this taxonomy, we classify privacy-sensitive IDS data as input, built-in and generated data.
Because of privacy restrictions, we were not able to classify SES on an individual level, but for the present, we conclude that SES does not modify the association between PM exposure and infant death in the study region.
Conventionally, general privacy protection technologies are classified into three major categories, i.e., privacy by policy, privacy by statistical analysis, privacy by cryptography [4], but our study find that various architectural models should be divided into two major fields, i.e., cryptographic and non-cryptographic approaches.
In general, all the existing works can be classified into two categories: privacy-preserving service request and privacy-preserving localization.
Taking a bird's-eye view on our taxonomy, it becomes clear that the data types classified differ in the privacy risks they are accompanied with.
We classify the existing works according to their underlying techniques for personalized recommendation and privacy protection, and thoroughly discuss and compare their merits and demerits, especially in terms of privacy and recommendation accuracy.
SECURITY AND PRIVACY -- Corporate travel managers are increasingly uneasy about the way the federal government is putting in place plans with airlines for a passenger screening system that will register and classify travelers based on perceived risks.
A better approach would be to automatically classify the data within that database to lessen the ability to include sensitive information, masking data to preserve working with test data without compromising data privacy.
However, in addition to decreasing the performance of these methods, monitoring the details of email contents may violate privacy rights that are under legal protection, requiring a careful balance of accurately classifying enterprise emails and protecting privacy rights.
Its suggestions are classified, but reportedly include new privacy protections, even as the bulk collection of phone records continues.
Work related to classifying OSN data types and privacy metrics is discussed and compared to our contribution in Section 2. The scope and methodology of the research are defined in Section 3. The proposed taxonomy is introduced in Section 4 accompanied by an analysis of related literature and a conceptualization of fundamental OSN user activities involving user data.
