Skripsi
VISUALISASI SERANGAN UDP FLOOD PADA LAYANAN INTERNET OF THINGS (IOT) MENGGUNAKAN METODE K-MEANS CLUSTERING
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.
Inventory Code | Barcode | Call Number | Location | Status |
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2307000587 | T86384 | T863842023 | Central Library (Referens) | Available |
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