L-diversity privacy

CiteSeerX — Review: l-diversity – privacy beyond k-anonymity

CiteSeerX — l-Diversity: Privacy Beyond k-Anonymity CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Publishing data about individuals without revealing sensitive information about them is an important problem. In recent years, a new definition of privacy called k-anonymity has gained popularity. In a k-anonymized dataset, each record is indistinguishable from at least k − 1 other records with respect to certain CiteSeerX — Review: l-diversity – privacy beyond k-anonymity CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Abstract. This survey intends to summarize the paper [MaGK06] with a critical point of view. The paper deals with possibilities of attacking the k-anonymity generalization method and provides a method to circumvent potential problems. In this survey, we present the fundamental ideas of the paper and its main l diversity k anonymity for privacy preserving data ( Java

Getting Started with SAP HANA Cloud V | Hands-on Video

Getting Started with SAP HANA Cloud V | Hands-on Video Jun 22, 2020 Interactive anonymization of sensitive data

t-Closeness: Privacy beyond k-Anonymity and l-Diversity

Apr 20, 2007 Data Anonymisation and L-Diversity – Information with Insight Mar 12, 2019 CiteSeerX — l-Diversity: Privacy Beyond k-Anonymity CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Publishing data about individuals without revealing sensitive information about them is an important problem. In recent years, a new definition of privacy called k-anonymity has gained popularity. In a k-anonymized dataset, each record is indistinguishable from at least k − 1 other records with respect to certain CiteSeerX — Review: l-diversity – privacy beyond k-anonymity