Design DDoS attack detector using NTOPNG

Grafika Jati; Budi Hartadi; Akmal Gafar Putra; Fahri Nurul; M. Riza Iqbal; Setiadi Yazid

doi:10.1109/IWBIS.2016.7872903

Design DDoS attack detector using NTOPNG

Grafika Jati, Budi Hartadi, Akmal Gafar Putra, Fahri Nurul, M. Riza Iqbal, Setiadi Yazid

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Distributed Denial of Service (DDoS) is one kind of attacks using multiple computers. An attacker would act as a fake service requester that drains resources in computer target. This makes the target cannot serve the real request service. Thus we need to develop DDoS detector system. The proposed system consists of traffic capture, packet analyzer, and packet displayer. The system utilizes Ntopng as main traffic analyzer. Detector system has to meet good standard in accuracy, sensitivity, and reliability. We evaluate the system using one of dangerous DDoS tool named Slowloris. The system can detect attacks and provide alerts to detector user. The system also can process all incoming packets with a small margin of error (0.76%).

Original language	English
Title of host publication	2016 International Workshop on Big Data and Information Security, IWBIS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	139-143
Number of pages	5
ISBN (Electronic)	9781509034772
DOIs	https://doi.org/10.1109/IWBIS.2016.7872903
Publication status	Published - 6 Mar 2017
Event	2016 International Workshop on Big Data and Information Security, IWBIS 2016 - Jakarta, Indonesia Duration: 18 Oct 2016 → 19 Oct 2016

Publication series

Name	2016 International Workshop on Big Data and Information Security, IWBIS 2016

Conference

Conference	2016 International Workshop on Big Data and Information Security, IWBIS 2016
Country/Territory	Indonesia
City	Jakarta
Period	18/10/16 → 19/10/16

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10.1109/IWBIS.2016.7872903

Cite this

Jati, G., Hartadi, B., Putra, A. G., Nurul, F., Iqbal, M. R., & Yazid, S. (2017). Design DDoS attack detector using NTOPNG. In 2016 International Workshop on Big Data and Information Security, IWBIS 2016 (pp. 139-143). Article 7872903 (2016 International Workshop on Big Data and Information Security, IWBIS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWBIS.2016.7872903

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title = "Design DDoS attack detector using NTOPNG",

abstract = "Distributed Denial of Service (DDoS) is one kind of attacks using multiple computers. An attacker would act as a fake service requester that drains resources in computer target. This makes the target cannot serve the real request service. Thus we need to develop DDoS detector system. The proposed system consists of traffic capture, packet analyzer, and packet displayer. The system utilizes Ntopng as main traffic analyzer. Detector system has to meet good standard in accuracy, sensitivity, and reliability. We evaluate the system using one of dangerous DDoS tool named Slowloris. The system can detect attacks and provide alerts to detector user. The system also can process all incoming packets with a small margin of error (0.76%).",

author = "Grafika Jati and Budi Hartadi and Putra, {Akmal Gafar} and Fahri Nurul and Iqbal, {M. Riza} and Setiadi Yazid",

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Jati, G, Hartadi, B, Putra, AG, Nurul, F, Iqbal, MR & Yazid, S 2017, Design DDoS attack detector using NTOPNG. in 2016 International Workshop on Big Data and Information Security, IWBIS 2016., 7872903, 2016 International Workshop on Big Data and Information Security, IWBIS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 139-143, 2016 International Workshop on Big Data and Information Security, IWBIS 2016, Jakarta, Indonesia, 18/10/16. https://doi.org/10.1109/IWBIS.2016.7872903

Design DDoS attack detector using NTOPNG. / Jati, Grafika; Hartadi, Budi; Putra, Akmal Gafar et al.
2016 International Workshop on Big Data and Information Security, IWBIS 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 139-143 7872903 (2016 International Workshop on Big Data and Information Security, IWBIS 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hartadi, Budi

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AU - Yazid, Setiadi

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AB - Distributed Denial of Service (DDoS) is one kind of attacks using multiple computers. An attacker would act as a fake service requester that drains resources in computer target. This makes the target cannot serve the real request service. Thus we need to develop DDoS detector system. The proposed system consists of traffic capture, packet analyzer, and packet displayer. The system utilizes Ntopng as main traffic analyzer. Detector system has to meet good standard in accuracy, sensitivity, and reliability. We evaluate the system using one of dangerous DDoS tool named Slowloris. The system can detect attacks and provide alerts to detector user. The system also can process all incoming packets with a small margin of error (0.76%).

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Jati G, Hartadi B, Putra AG, Nurul F, Iqbal MR, Yazid S. Design DDoS attack detector using NTOPNG. In 2016 International Workshop on Big Data and Information Security, IWBIS 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 139-143. 7872903. (2016 International Workshop on Big Data and Information Security, IWBIS 2016). doi: 10.1109/IWBIS.2016.7872903

Design DDoS attack detector using NTOPNG

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