CNN Based Real-Time DNS DDoS Attack Detection System


KIPS Transactions on Computer and Communication Systems, Vol. 6, No. 3, pp. 135-142, Mar. 2017
10.3745/KTCCS.2017.6.3.135,   PDF Download:
Keywords: Deep Learning, DNS DDoS Attack, Real-Time Detection System, DNS Amplification Attack
Abstract

DDoS(Distributed Denial of Service) exhausts the target server's resources using the large number of zombie pc, As a result normal users don't access to server. DDoS Attacks steadly increase by many attacker, and almost target of the attack is critical system such as IT Service Provider, Government Agency, Financial Institution. In this paper, We will introduce the CNN(Convolutional Neural Network) of deep learning based real-time detection system for DNS amplification Attack(DNS DDoS Attack). We use the dataset which is mixed with collected data in the real environment in order to overcome existing research limits that use only the data collected in the experiment environment. Also, we build a deep learning model based on Convolutional Neural Network(CNN) that is used in pattern recognition.


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Cite this article
[IEEE Style]
I. H. Seo, K. Lee, J. Yu, S. Kim, "CNN Based Real-Time DNS DDoS Attack Detection System," KIPS Transactions on Computer and Communication Systems, vol. 6, no. 3, pp. 135-142, 2017. DOI: 10.3745/KTCCS.2017.6.3.135.

[ACM Style]
In Hyuk Seo, Ki-Taek Lee, Jinhyun Yu, and Seungjoo Kim. 2017. CNN Based Real-Time DNS DDoS Attack Detection System. KIPS Transactions on Computer and Communication Systems, 6, 3, (2017), 135-142. DOI: 10.3745/KTCCS.2017.6.3.135.