CPSec DLP: Kernel‐Level Content Protection Security System of Data Leakage Prevention

Ma, Zhiliang

doi:10.1049/cje.2017.05.002

Cited by 5 publications

(1 citation statement)

References 13 publications

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“…In [55] a scheme based on mandatory kernel-level encryption on write operation and decryption on open operation is proposed through middleware to ensure that data remain encrypted in memory. In addition, usage control policies are established, such as read-only, save, export, write,…”

Section: Methods To Address the Insider Threatmentioning

confidence: 99%

Survey of Techniques on Data Leakage Protection and Methods to address the Insider threat

Montano

Aranda²,

Diaz³

et al. 2022

Cluster Comput

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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.

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Section: Methods To Address the Insider Threatmentioning

confidence: 99%