A Hybrid Framework for Data Loss Prevention and Detection

Costante, Elisa; Fauri, Davide; Etalle, Sandro; Hartog, Jerry den; Zannone, Nicola

doi:10.1109/spw.2016.24

Cited by 41 publications

(38 citation statements)

References 22 publications

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“…There have been a number of studies in profiling users’ normal behaviors to identify intruders or insiders . Instead of detecting the presence of sensitive data, Mathew et al proposed to model normal users’ data access patterns and raise an alarm when a user deviates from the normal profile, in order to mitigate insider threat in database systems.…”

Section: Dlpd Techniquesmentioning

confidence: 99%

“…• Instead of trying to identify the presence of sensitive content, on the contrary, context-based approaches 7,8,[31][32][33][34][35] mainly perform contextual analysis of the meta information associated with the monitored data or context surrounding the data. Some DLPD solutions are hybrid approaches that analyze both content and context.…”

Section: Existing Dlpd Techniquesmentioning

confidence: 99%

See 1 more Smart Citation

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

Cheng

Liu

Yao

2017

WIREs Data Min & Knowl

188

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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.

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Section: Dlpd Techniquesmentioning

confidence: 99%

Section: Existing Dlpd Techniquesmentioning

confidence: 99%

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

Cheng

Liu

Yao

2017

WIREs Data Min & Knowl

188

View full text Add to dashboard Cite

show abstract

“…Costante et al presented a hybrid approach for data leakage prevention [28]. Existing approaches focus either on prevention, for e.g.…”

Section: Related Workmentioning

confidence: 99%

“…Only those transactions are considered to be legitimate that will match the model. Two main approaches are used to build the model i) Specification approach and ii) Learning-approach [28].…”

Section: Current Approaches For Dlpmentioning

confidence: 99%