TY - JOUR
T1 - Data privacy
AU - Torra, Vicenç
AU - Navarro-Arribas, Guillermo
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Data privacy studies methods, tools, and theory to avoid the disclosure of sensitive information. Its origin is in statistics with the goal to ensure the confidentiality of data gathered from census and questionnaires. The topic was latter introduced in computer science and more particularly in data mining, where due to the large amount of data currently available, has attracted the interest of researchers, practitioners, and companies. In this paper we will review the main topics related to data privacy and privacy-enhancing technologies. For further resources related to this article, please visit the WIREs website. Conflict of interest: The authors have declared no conflicts of interest for this article. © 2014 John Wiley & Sons, Ltd.
AB - Data privacy studies methods, tools, and theory to avoid the disclosure of sensitive information. Its origin is in statistics with the goal to ensure the confidentiality of data gathered from census and questionnaires. The topic was latter introduced in computer science and more particularly in data mining, where due to the large amount of data currently available, has attracted the interest of researchers, practitioners, and companies. In this paper we will review the main topics related to data privacy and privacy-enhancing technologies. For further resources related to this article, please visit the WIREs website. Conflict of interest: The authors have declared no conflicts of interest for this article. © 2014 John Wiley & Sons, Ltd.
U2 - https://doi.org/10.1002/widm.1129
DO - https://doi.org/10.1002/widm.1129
M3 - Article
SN - 1942-4787
VL - 4
SP - 269
EP - 280
JO - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
JF - Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
ER -