Data loss prevention (DLP) by using MRSH-v2 algorithm

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.

Cyber Threats Classifications and Countermeasures in Banking and Financial Sector

“…They provide real-time monitoring and alerts, enabling banks to respond quickly to cyber threats. Data Loss Prevention (DLP) tools [67] DLP tools monitor and prevent the unauthorized transmission of sensitive data, both within and outside the organization.…”

Malicious attacks modelling: a prevention approach for ad hoc network security

“…Considering this literature, many ensemble approaches have been suggested in recent works to address the problems with single classifiers [35]- [37]. Therefore, highly scalable and voting-based ensemble models were proposed [38]- [40]. These models can be used in real-time to successfully examine network traffic and proactively warn against the possibility of attacks [41]- [43].…”

Survey of Techniques on Data Leakage Protection and Methods to address the Insider threat

“…In [35] DRM systems are compared with the proposed DLPS (UC4Win). In [36] the authors reveal some of the problems to control the use of such data [20], [21]. The security mechanisms can be content deletion, content editing, content reading, or an authorized user to perform each operation.…”

“…If a match is detected between the values, a leak is detected by the system. This approach presents the problem that any modification of the original document may result in a completely different hash value, which would not allow the system to detect the confidential document [20].…”

“…The proposed system allows access control, through the development of the encryption key, through the combination of a set of parameters; these parameters can be biometric identification of the user accessing the information, geographic location, electronic fingerprint of the device, date, and time, among others. Although this proposal does not specifically present usage control, it is robust due to the ability to require several parameters to Title Contribution Techniques and Technologies Data loss prevention (DLP) using MRSH-v2 algorithm [20] Analysis of the different types of methods for implementing DLP tools, determining that exact file matching is the best approach, using for demonstration the implementation of the MRSH-v2 algorithm to show the capabilities of this method.…”