KLASIFIKASI SCAREWARE MALWARE PADA ANDROID MENGGUNAKAN METODE RANDOM FOREST

NOPRIANSYAH, SANDI and Heryanto, Ahmad and Oklilas, Ahmad Fali (2021) KLASIFIKASI SCAREWARE MALWARE PADA ANDROID MENGGUNAKAN METODE RANDOM FOREST. Undergraduate thesis, Sriwijaya University.

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Abstract

Malware is all malicious software, Viruses or Malware on a computer can easily work by attaching to a computer file. Basically, the creation of malware is used as an illegal act to harm users or users such as stealing, destroying data on storage media. Examples of dangerous malware, one of which is Scareware, is a type of software that is quite dangerous and the latest that can pose financial and privacy threats or personal data for beginners. In this study, we try to classify the type of Scareware Malware of the VirusShield Dataset family used from the internet, precisely at CICMaldroid 2017, the accuracy result by applying the Random Forest Algorithm is 90.36%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Classification, Scareware, Malware, Virus, Random Forest
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 5555 not found.
Date Deposited:	30 Nov 2021 03:32
Last Modified:	30 Nov 2021 03:32
URI:	http://repository.unsri.ac.id/id/eprint/58217

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