RT info:eu-repo/semantics/article
T1 Survey of techniques on data leakage protection and methods to address the insider threat
A1 Herrera Montano, Isabel
A1 García Aranda, José Javier
A1 Ramos Diaz, Juan
A1 Molina Cardín, Sergio
A1 Torre Díez, Isabel de la
A1 Rodrigues, Joel J. P. C.
K1 Data leak Protection
K1 Data leak Prevention
K1 DLP
K1 Internal threat
K1 Classified Information Security
K1 DRM
K1 33 Ciencias Tecnológicas
AB Data leakage is a problem that companies and organizations face every day around the world. Mainly the data leak caused by the internal threat posed by authorized personnel to manipulate confidential information. The main objective of this work is to survey the literature to detect the existing techniques to protect against data leakage and to identify the methods used to address the insider threat. For this, a literature review of scientific databases was carried out in the period from 2011 to 2022, which resulted in 42 relevant papers. It was obtained that from 2017 to date, 60% of the studies found are concentrated and that 90% come from conferences and publications in journals. Significant advances were detected in protection systems against data leakage with the incorporation of new techniques and technologies, such as machine learning, blockchain, and digital rights management policies. In 40% of the relevant studies, significant interest was shown in avoiding internal threats. The most used techniques in the analyzed DLP tools were encryption and machine learning.
PB Springer
SN 1386-7857
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/54391
UL https://uvadoc.uva.es/handle/10324/54391
LA eng
NO Cluster Computing, 2022.
NO Producción Científica
DS UVaDOC
RD 27-dic-2024