Key Stroke Profiling for Data Loss Prevention

Data leakage has become a serious problem to many organizations. To provide visibility into what data is confidential and where it's stored, many of current data leakage prevention (DLP) solutions depend on scanning file content. This approach needs the capability of parsing various file format...

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Bibliographic Details
Main Authors: Jain-Shing Wu, Yuh-Jye Lee, Song-Kong Chong, Chih-Ta Lin, Jung-Lun Hsu
Format: Conference Proceeding
Language:English
Subjects:
Data leakage prevention
File parser
Key stroke profiling
Keyboards
Monitoring
Security
Sensitive data protection
Sensitivity
Switches
Testing
Training
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Summary:Data leakage has become a serious problem to many organizations. To provide visibility into what data is confidential and where it's stored, many of current data leakage prevention (DLP) solutions depend on scanning file content. This approach needs the capability of parsing various file formats, but for those unsupported file formats there still exist risks of data breach. To address this issue, this study proposes an active DLP model by hooking on keyboard API to track and profile user key stroke behaviour. This has two major advantages: (1) It can discover sensitive data without parsing file formats, and (2) A data creator can be identified according to his/her key stroke behaviour. Since this model is based on key stroke profiling, it can resolve unsupported file format issue and have the capability of file creator identification.
ISSN:2376-6816
2376-6824
DOI:10.1109/TAAI.2013.16