Research on Leakage Prevention Technology of Sensitive Data based on Artificial Intelligence
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This paper defines data leakage detection and prevention system and characterizes it based on different states of data, deployment points and leakage detection approaches.
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.
This review helps interested readers to learn about enterprise data leak threats, recent data leak incidents, various state‐of‐the‐art prevention and detection techniques, new...
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.
This paper defines data leakage detection and prevention system and characterizes it based on different states of data, deployment points and leakage detection approaches.
The authors define a DLPS as ‘a system that is designed to detect and prevent the unauthorised access, use, or transmission of confidential information’ (p. 10). Their survey describes taxonomy of data leakage prevention solutions along with commercial and academic examples.
This paper proposes a new automatic approach that applies Named Entity Recognition (NER) to prevent data leaks and conducts an empirical study with real-world data to show that this NER-based approach can enhance the prevention of data losses.
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. Keywords Data leak Protection · Data leak Prevention · DLP · Internal threat · Classified Information Security · DRM.
In order to deal with the sensitive data leakage under the new network threat, this paper proposes the sensitive data leakage prevention method based on artificial intelligence technology by studying the current data leakage prevention technology.
We should determine risks regarding storing data online. Then explain how data leaks and review existing solutions for solving data leakage problems.