VISUALISASI SERANGAN UDP FLOOD PADA LAYANAN INTERNET OF THINGS (IOT) MENGGUNAKAN METODE K-MEANS CLUSTERING

ARIQ, MUHAMMAD RIFQI ABIYYU and Stiawan, Deris (2022) VISUALISASI SERANGAN UDP FLOOD PADA LAYANAN INTERNET OF THINGS (IOT) MENGGUNAKAN METODE K-MEANS CLUSTERING. Undergraduate thesis, Sriwijaya University.

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Abstract

The Internet of Things (IoT) is a system for accumulating and transferring data on a physical device that is interconnected to the internet network in order to communicate with each other between devices with any destination the user wants, so that the system will not infrequently escaped from the threat of cyber attacks such as Denial of Service (DoS) UDP floods that could reduce the performance of IoT devices. This type of attack technique can paralyze systems on IoT devices that are continuous even if the attack has been stopped. This research will visualize UDP Denial of Service (DoS) attacks using the K-Means method. In this study, the most optimal cluster was two clusters based on the results of the elbow and silhouette coefficient techniques with a score of 90.7%. The visualization results between the two clusters shows that cluster 1 has more dominant attack traffic than cluster 2.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	LAYANAN INTERNET
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5105.5.S72 Computer networks
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Muhammad Rifqi Abiyyu Ariq
Date Deposited:	16 Jan 2023 08:22
Last Modified:	16 Jan 2023 08:22
URI:	http://repository.unsri.ac.id/id/eprint/86384

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