KLASIFIKASI MALWARE ADWARE PADA ANDROID MENGGUNAKAN METODE SUPPORT VEKTOR MACHINE (SVM) DAN LINEAR DISCRIMINANT ANALYSIS (LDA)

MAULANA, PADHLI and Heryanto, Ahmad and Oklilas, Ahmad Fali (2022) KLASIFIKASI MALWARE ADWARE PADA ANDROID MENGGUNAKAN METODE SUPPORT VEKTOR MACHINE (SVM) DAN LINEAR DISCRIMINANT ANALYSIS (LDA). Undergraduate thesis, Sriwijaya University.

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Abstract

The internet is a liaison between one electronic media and other electronic media quickly and accurately in acommunication network. Where the communication network sends information that is transmitted by signaling at an adjusted frequency[3]. Adware is software that is used to display advertisements for monetary gain[6]. The dataset comes from the Canadian Institute for Cybersecurity (CIC) with the name android adware 2017. In addition, there is a Linear Discriminant Analysis (LDA) method that functions as a data dimension reduction in this study. The results of the adware malware classification using the Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) methods are to use the RBF parameter with a value of the largest is cost = 32-250 and gamma = 1 with accuracy = 93.41%, recall = 79.5%, precision = 88.18%, FPR = 0.24%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Malware, internet, Android, klasifikasi, Support Vector Machine, Linear Discriminant Analysis
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 20138 not found.
Date Deposited:	13 Apr 2022 06:37
Last Modified:	13 Apr 2022 06:37
URI:	http://repository.unsri.ac.id/id/eprint/68998

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