2. The Concept of k-Anonymity | ASPE
K - anonymity: An Introduction | Privitar Apr 07, 2017 k-Anonymity: A Model for Protecting Privacy Dummy generation based privacy preservation techniques are built on k-anonymity [15, 11] principle, a concept well researched in the field of database privacy. In these techniques, k-anonymity is K-Anonymity - an overview | ScienceDirect Topics Sep 11, 1984
An Algorithm For k-Degree Anonymity On Large Networks
Dec 18, 2019 k-Anonymity | SpringerLink If, for a given k, k-anonymity is assumed to be sufficient protection, one can concentrate on minimizing information loss with the only constraint that k-anonymity should be satisfied.This is a clean way of solving the tension between data protection and data utility. Since k-anonymity is usually achieved via generalization (equivalent to global recoding, as said above) and local suppression
2.1. K-Anonymity The concept of k-anonymity addresses the question of “How can a data holder release its private data with guarantees that the individual subjects of the data cannot be identified while the data remain practically useful” [Samarati 2001]. For instance, a government
An Algorithm For k-Degree Anonymity On Large Networks The k-anonymity model can be applied using different concepts when dealing with networks rather than relational data. A widely used option is to consider the node degree as a quasi-identifier. This corresponds to k-degree anonymity. In short, in k-degree anonymity we presume that the only possible attack is when the attacker knows the degree BDCC | Free Full-Text | A Dynamic Intelligent Policies The evolution of the Internet of Things is significantly affected by legal restrictions imposed for personal data handling, such as the European General Data Protection Regulation (GDPR). The main purpose of this regulation is to provide people in the digital age greater control over their personal data, with their freely given, specific, informed and unambiguous consent to collect and process