Results 31 to 40 of about 23,626,077 (284)
Enabling anonymous crime reporting on mobile phones in the developing world [PDF]
, 2013 Various campaigns indicate that a need exists for a convenient and anonymous crime reporting framework for the context of the developing world. In this thesis a contribution is made by means of a framework that facilitates reporting crime anonymously ...
Burke, Mark John
core +1 more source
z-anonymity: Zero-Delay Anonymization for Data Streams [PDF]
2020 IEEE International Conference on Big Data (Big Data), 2020 With the advent of big data and the birth of the data markets that sell personal information, individuals' privacy is of utmost importance. The classical response is anonymization, i.e., sanitizing the information that can directly or indirectly allow users' re-identification. The most popular solution in the literature is the k-anonymity.
Jha, Nikhil +4 more
openaire +4 more sources
Practical anonymization for data streams: z-anonymity and relation with k-anonymity
Performance Evaluation, 2023 With the advent of big data and the emergence of data markets, preserving individuals’ privacy has become of utmost importance. The classical response to this need is anonymization, i.e., sanitizing the information that, directly or indirectly, can allow users’ re-identification.
Nikhil Jha +4 more
openaire +4 more sources
The RIPE NCC internet measurement data repository [PDF]
, 2010 This paper describes datasets that will shortly be made available to the research community through an Internet measurement data repository operated by the RIPE NCC.
McGregor, Anthony James +2 more
core +1 more source
Attribute-Centric and Synthetic Data Based Privacy Preserving Methods: A Systematic Review
Journal of Cybersecurity and Privacy, 2023 Anonymization techniques are widely used to make personal data broadly available for analytics/data-mining purposes while preserving the privacy of the personal information enclosed in it.
Abdul Majeed
doaj +1 more source
Journal of Function Spaces, 2022 Background. As more data becomes available about how frequently the cloud can be updated, a more comprehensive picture of its safety is emerging. The suggested artworks use a cloud-based gradual clustering device to cluster and refresh a large number of ...
Sindhe Phani Kumar, R. Anandan
doaj +1 more source
OpenAIRE webinar - Amnesia: High-accuracy Data Anonymization
, 2023 The webinar will introduce the concept of anonymization of research data, including direct identifiers and quasi-identifiers using Amnesia, which is a flexible data anonymization tool that transforms sensitive data to datasets where formal privacy ...
Terrovitis, Manolis
core +1 more source
Preventing Location-Based Identity Inference in Anonymous Spatial Queries [PDF]
, 2007 10.1109/TKDE.2007.190662IEEE Transactions on Knowledge and Data Engineering19121719 ...
Kalnis, P. +7 more
core +1 more source
Data Anonymization through Collaborative Multi-view Microaggregation
Journal of Intelligent Systems, 2020 The interest in data anonymization is exponentially growing, motivated by the will of the governments to open their data. The main challenge of data anonymization is to find a balance between data utility and the amount of disclosure risk.
Zouinina Sarah +3 more
doaj +1 more source
Improving MapReduce privacy by implementing multi-dimensional sensitivity-based anonymization
Journal of Big Data, 2017 Big data is predominantly associated with data retrieval, storage, and analytics. Data analytics is prone to privacy violations and data disclosures, which can be partly attributed to the multi-user characteristics of big data environments.
Mohammed Al-Zobbi +2 more
doaj +1 more source