Enterprise data breach: causes, challenges, prevention, and future directions

By Long Cheng, Fang Liu, D. Yao. 2017

294 citations recorded by the source corpus.

A data breach is the intentional or inadvertent exposure of confidential information to unauthorized parties. In the digital era, data has become one of the most critical components of an enterprise. Data leakage poses serious threats to organizations, including significant reputational damage and financial losses. As the volume of data is growing exponentially and data breaches are happening more frequently than ever before, detecting and preventing data loss has become one of the most pressing security concerns for enterprises. Despite a plethora of research efforts on safeguarding sensitive information from being leaked, it remains an active research problem. 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 challenges, and promising solutions and exciting opportunities. WIREs Data Mining Knowl Discov 2017, 7:e1211. doi: 10.1002/widm.1211

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

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Citations in the corpus

Privacy in Deep Learning: A Survey (2020, background): “One threat is the direct intentional or unintentional exposure of sensitive information, through untrusted data curator, communication link, or cloud [11, 12].”
Generating synthetic data in finance: opportunities, challenges and pitfalls (2020, background): “The issue of data privacy is of great importance in public opinion, as evidenced by reactions to the Facebook/Cambridge Analytica scandal [77] and the numerous data breaches [19] that have occurred”