2026-05-05T22:59:58Zhttps://uvadoc.uva.es/oai/request
oai:uvadoc.uva.es:10324/543912025-09-23T06:30:01Zcom_10324_1191com_10324_931com_10324_894col_10324_1379
UVaDOC author Herrera Montano, Isabel author García Aranda, José Javier author Ramos Diaz, Juan author Molina Cardín, Sergio author Torre Díez, Isabel de la author Rodrigues, Joel J. P. C. 2022-08-16T11:25:44Z 2022-08-16T11:25:44Z 2022 Cluster Computing, 2022. 1386-7857 https://uvadoc.uva.es/handle/10324/54391 10.1007/s10586-022-03668-2 Cluster Computing 1573-7543 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. eng Atribución 4.0 Internacional Survey of techniques on data leakage protection and methods to address the insider threat info:eu-repo/semantics/article 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URL https://uvadoc.uva.es/bitstream/10324/54391/1/Survey-of-techniques.pdf File MD5 00291363599e7014cc7c151e5e8163ff 1560159 application/pdf Survey-of-techniques.pdf