Data Mining Usage in Corporate Information Security: Intrusion Detection Applications

Abstract

Background: The globalization era has brought with it the development of high technology, and therefore new methods of preserving and storing data. New data storing techniques ensure data are stored for longer periods of time, more efficiently and with a higher quality, but also with a higher data abuse risk. Objective: The goal of the paper is to provide a review of the data mining applications for the purpose of corporate information security, and intrusion detection in particular. Methods/approach: The review was conducted using the systematic analysis of the previously published papers on the usage of data mining in the field of corporate information security. Results: This paper demonstrates that the use of data mining applications is extremely useful and has a great importance for establishing corporate information security. Data mining applications are directly related to issues of intrusion detection and privacy protection. Conclusions: The most important fact that can be specified based on this study is that corporations can establish a sustainable and efficient data mining system that will ensure privacy and successful protection against unwanted intrusions.

Electronic footprint analysis and cluster analysis techniques for information security risk research of university digital systems

“…In [11], [12], [13], [14], [15], the authors address various aspects of the problems of applying IDA techniques for information security (IS) of UDEE.…”

“…It is shown in [12], [13] that the use of IDA techniques can be very effective in addressing the problems related to intrusion detection and privacy protection.…”

Autonomous Sensor Data Cleaning in Stream Mining Setting

“…However, translating the data analysis into a streaming on-line process is always considered a good approach. Stream mining exposes another benefit of the methodology -real-time responsiveness of the system, which has been identified as desirable by many different authors regarding reporting (Belfo et al, 2015), intrusion detection (Al Quhtani, 2017) and others.…”