Skripsi

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

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307000587	T86384	T863842023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T863842023

Publisher

Indralaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiii, 27 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.707

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Sistem Komputer
Data dalam sistem-sistem komputer

Specific Detail Info

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Statement of Responsibility

MURZ

Other version/related

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