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Basheer Husham Ali
Al-Iraqia University
Computer Science & IT Electrical & Electronics Engineering

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Data loss prevention (DLP) by using MRSH-v2 algorithm Basheer Husham Ali; Ahmed Adeeb Jalal; Wasseem N. Ibrahem Al-Obaydy Al-Obaydy
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.378 KB) | DOI: 10.11591/ijece.v10i4.pp3615-3622

Abstract

Sensitive data may be stored in different forms. Not only legal owners but also malicious people are interesting of getting sensitive data. Exposing valuable data to others leads to severe Consequences. Customers, organizations, and /or companies lose their money and reputation due to data breaches. There are many reasons for data leakages. Internal threats such as human mistakes and external threats such as DDoS attacks are two main reasons for data loss. In general, data may be categorized based into three kinds: data in use, data at rest, and data in motion. Data Loss Prevention (DLP) are good tools to identify important data. DLP can do analysis for data content and send feedback to administrators to make decision such as filtering, deleting, or encryption. Data Loss Prevention (DLP) tools are not a final solution for data breaches, but they consider good security tools to eliminate malicious activities and protect sensitive information. There are many kinds of DLP techniques, and approximation matching is one of them. Mrsh-v2 is one type of approximation matching. It is implemented and evaluated by using TS dataset and confusion matrix. Finally, Mrsh-v2 has high score of true positive and sensitivity, and it has low score of false negative.
Co-Authors Ahmed Adeeb Jalal Wasseem N. Ibrahem Al-Obaydy Al-Obaydy