UDP FLOOD DDOS ATTACK DETECTION BY THE METHOD OF RULE-BASED SIGNATURES IN REAL-TIME ON NETWORK SDN

EPRIYADI, EPRIYADI and Stiawan, Deris (2019) UDP FLOOD DDOS ATTACK DETECTION BY THE METHOD OF RULE-BASED SIGNATURES IN REAL-TIME ON NETWORK SDN. Undergraduate thesis, Universitas Sriwijaya.

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Abstract

This research focuses on the UDP Flood DDoS attacks where traffic data is categorized as normal data or anomaly. Packages are sent via UDP packet network is SDN in mininet virtualization using POX Controller. Data extraction was performed to determine the unique attribute that will be used on a Rule-Based algorithm to detect a UDP Flood DDoS attack in a real-time environment. The results obtained in this research in the form of a normal data clustering and data attacks then the accuracy of the grouping will be calculated using the confusion matrix. System IDS that are built using the method of rule-base better in detecting UDP Flood DDoS attack attested with accuracy reaching 98.4% compared with Snort IDS that only 94%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Rule-Based, DDoS, Mininet, SDN, IDS, Confusion Matrix
Subjects:	T Technology > T Technology (General) > T10.5-11.9 Communication of technical information
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 1685 not found.
Date Deposited:	04 Sep 2019 06:56
Last Modified:	04 Sep 2019 06:56
URI:	http://repository.unsri.ac.id/id/eprint/6240

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