VISUALISASI SERANGAN TROJAN METASPLOIT PADA ANDROID DENGAN METODE K-MEANS

SETIAWAN, HAFIZD and Stiawan, Deris (2024) VISUALISASI SERANGAN TROJAN METASPLOIT PADA ANDROID DENGAN METODE K-MEANS. Undergraduate thesis, Sriwijaya University.

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Abstract

K-Means clustering is a tool used to determine the cluster structure of a dataset identified by its strong similarity to other clusters or its strong difference from other clusters. In another paper, it is stated that the working method of the K-Means algorithm requires the use of centroids as cluster prototypes and previous cluster results as its output. The dataset originates from the COMNETS research experiment. K-Means successfully clustered into 2 clusters with a silhouette score of 0.81, and the elbow method results indicated a significant drop at 2 clusters. The parallel coordinates visualization showed patterns of attacks from the Metasploit trojan. Validation using the Confusion Matrix showed that the model achieved an accuracy of 85.94%. Keyword : K-means Clustering, Cyber Attack, Metasploit, Silhouette Score.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Android malware,Metasploit,K-means clustering
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Hafizd Setiawan
Date Deposited:	10 Jun 2024 06:04
Last Modified:	10 Jun 2024 06:04
URI:	http://repository.unsri.ac.id/id/eprint/146546

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