KLASIFIKASI MALWARE ANDROID RANSOMWARE FAMILY DENGAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA) DAN SUPPORT VECTOR MACHINE (SVM)

HAKIM, MUHAMMAD RIZALLUL and Heryanto, Ahmad and Oklilas, Ahmad Fali (2021) KLASIFIKASI MALWARE ANDROID RANSOMWARE FAMILY DENGAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA) DAN SUPPORT VECTOR MACHINE (SVM). Undergraduate thesis, Sriwijaya University.

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Abstract

Malware is a malicious program that aims to damage or steal personal data from the system. One type of malware attack used by attackers to attack the operating system on mobile devices is the ransomware type of malware. The way Ransomware works is to block user access by encrypting it and asking for a ransom to get the decryption key[5]. This ransomware has many variants, one of which is wannalocker. Wannalocker attacks the android platform in a similar way, masquerading as a game plugin, by tricking victims into downloading and running it[6]. Support Vector Machine (SVM) method can be implemented to classify android malware. Classification of android malware that focuses on wannalocker and benign malware using the CICAndMal2017 dataset. In addition, there is a Principal Component Analysis (PCA) method that functions as a data dimension reduction in this study. The best accuracy results obtained by applying the SVM and PCA methods as a reduction in the dimensions of this data is 95.02%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Malware, Android, klasifikasi, Support Vector Machine, Principal Component Analysis
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 5563 not found.
Date Deposited:	30 Dec 2021 03:11
Last Modified:	30 Dec 2021 03:11
URI:	http://repository.unsri.ac.id/id/eprint/59805

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