Skripsi

KLASIFIKASI ADWARE MALWARE PADA ANDROID DENGAN METODE RANDOM FOREST

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Penilaian

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The development of technology triggers the development of malicious files called malware. Malware is software that is explicitly designed with the aim of finding weaknesses or even damaging software or operating systems. In this study, the dowgin and benign malware classification was carried out using the Random Forest algorithm method by comparing weka data and spyder programs. The dataset used in this study is the CICAndMal2017 csv (Comma Separated Values) category with the dowgin type in this dataset has 1197 for 53% dowgin data and 792 begign data or 47% where this dataset has 85 attributes. After the classification, the accuracy value for the accuracy value is 0.998% and the OOB Error value is 0.16%, while using the Random Forest method the accuracy value for the spyder program is 0.891% and the OOB Error value is 0.108%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2107002758	T39522	T395222021	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T395222021

Publisher

Inderalaya : Prodi Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2021

Collation

xi, 53 hlm. : ilus. ; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.840 7

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Malware
Prodi Sistem Komputer

Specific Detail Info

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Statement of Responsibility

Win

Other version/related

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