An improved data pre-processing method for classification and insider information leakage detection
- Authors
- Hong, S.-S.; Kim, D.-W.; Han, M.-M.
- Issue Date
- 2018
- Publisher
- Inderscience Publishers
- Keywords
- Classification; Data leakage detection; Data pre-processing; Feature extraction; Information security; Intelligent security data analysis; Log analysis
- Citation
- International Journal of Advanced Intelligence Paradigms, v.11, no.1-2, pp.143 - 158
- Journal Title
- International Journal of Advanced Intelligence Paradigms
- Volume
- 11
- Number
- 1-2
- Start Page
- 143
- End Page
- 158
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/4312
- DOI
- 10.1504/IJAIP.2018.092952
- ISSN
- 1755-0386
- Abstract
- Data pre-processing, a step performed prior to data processing, converts data into a form that is easy to analyse. In this study, we propose a method for the pre-processing and integration of data collected from various sources to detect insider information leakage; further, we evaluate the performance of data pre-processing by performing classification and detection experiments with collected normal and abnormal log data. An insider information leakage attack scenario was created, and the attack data for this scenario were generated in order to collect the corresponding log data. This preprocessing stage improved the efficiency of information leakage analysis and detection, as demonstrated by the results of our experiments that shown the performance with accuracies of 0.9991 and 0.9997, respectively, in source classification. In addition, we found that securing the attack scenario and actual attack data is a very important factor in insider information leakage detection owing to the small amount of attack data. Copyright © 2018 Inderscience Enterprises Ltd.
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Collections - IT융합대학 > 소프트웨어학과 > 1. Journal Articles
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