Intrusion Detection System Using Discrete Fourier Transform with Window Function
| Autor: | Hidema Tanaka, Yusuke Tsuge |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Discrete-time Fourier transform Non-uniform discrete Fourier transform Short-time Fourier transform Spectral density estimation Gabor transform Kyoto2006+ dataset Discrete Fourier transform (general) Scale space implementation Discrete Fourier Transform Harmonic wavelet transform window function Algorithm Intrusion Detection System |
| Zdroj: | International Journal of Network Security & Its Applications. 8:23-34 |
| ISSN: | 0974-9330 0975-2307 |
| DOI: | 10.5121/ijnsa.2016.8202 |
| Popis: | An Intrusion Detection System (IDS) is counter measure against network attack. There are mainly two types of detections; signature-based and anomaly-based. And there are two kinds of error; false negative and false positive. In development of IDS, establishment of a method to reduce such false is a major issue. In this paper, we propose a new anomaly-based detection method using Discrete Fourier Transform (DFT)with window function. In our method, we assume fluctuation of payload in ordinary sessions as random. On the other hand, we can see fluctuation in attack sessions have bias. From the view point of spectrum analysis based on such assumption, we can find out different characteristic in spectrum of attack sessions. Using the characteristic, we can detect attack sessions. Example detection against Kyoto 2006+ data set shows 12.0% of false positive at most,and 0.0% of false negative. |
| Databáze: | OpenAIRE |
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