Differential privacy: its technological prescriptive using big data
نویسندگان
چکیده
منابع مشابه
Differential Privacy in Telco Big Data Platform
Differential privacy (DP) has been widely explored in academia recently but less so in industry possibly due to its strong privacy guarantee. This paper makes the first attempt to implement three basic DP architectures in the deployed telecommunication (telco) big data platform for data mining applications. We find that all DP architectures have less than 5% loss of prediction accuracy when the...
متن کاملPrivacy and Security of Big Data in THE Cloud
Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...
متن کاملPrivacy and Security of Big Data in THE Cloud
Big data has been arising a growing interest in both scien- tific and industrial fields for its potential value. However, before employing big data technology into massive appli- cations, a basic but also principle topic should be investigated: security and privacy. One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. Many or...
متن کاملA Privacy Preservation Framework for Big Data (Using Differential Privacy and Overlapped Slicing)
-We are in the midst of big data. The rate of data generation is increasing at a very rapid rate. We need to understand and analyze this data as quick as possible. A delay in millisecond to understand the data may cost not only money but also life. There are various processing and analytic mechanisms like Hadoop and MapReduce to process the data. But as big data comprises an enormous amount of ...
متن کاملPrivacy in Big Data
Benjamin Habegger, Omar Hasan, Thomas Cerqueus, Lionel Brunie, Nadia Bennani, Harald Kosch, Ernesto Damiani 1 University of Lyon, CNRS, INSA-Lyon, LIRIS, UMR5205, F-69621, France {benjamin.habegger, omar.hasan, thomas.cerqueus, lionel.brunie, nadia.bennani}@insa-lyon.fr 2 Faculty of Informatics and Mathematics, University of Passau, Germany [email protected] 3 Department of Computer Te...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Big Data
سال: 2018
ISSN: 2196-1115
DOI: 10.1186/s40537-018-0124-9