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DDoS Prediction Modeling Using Data Mining  

Kim, Jong-Min (경기대학교 융합보안학과)
Jung, Byung-soo (세한대학교 경찰행정학과)
Publication Information
Convergence Security Journal / v.16, no.2, 2016 , pp. 63-70 More about this Journal
Abstract
With the development of information and communication technologies like internet, the environment where people are able to access internet at any time and at any place has been established. As a result, cyber threats have been tried through various routes. Of cyber threats, DDoS is on the constant rise. For DDoS prediction modeling, this study drew a DDoS security index prediction formula on the basis of event data by using a statistical technique, and quantified the drawn security index. It is expected that by using the proposed security index and coming up with a countermeasure against DDoS threats, it is possible to minimize damage and thereby the prediction model will become objective and efficient.
Keywords
DDoS; Security Threats; Malicious Code; Prediction Modeling; data mining;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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