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KLASIFIKASI SMS MALWARE PADA PLATFORM ANDROID MENGGUNAKAN METODE RANDOM FOREST

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Penilaian

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Android is one of the most popular mobile platforms in the world as a mobile operating system, still facing security challenges and threats. Android is malware with various variants that are included in application packages that have APK (Android Package Kit) extensions with permission for SMS. SMS (Short Messages Service) is a standard service feature on today's smartphones. The growing technology of Android has this feature, which means that it also opens the gate for available malware variants that can attack SMS services. SMS-based Malware was then discovered in 2012. In short, SMS Malware can perform attacks via SMS and can perform subscriptions to an application silently. This research uses a dataset provided by the Canadian Institute of Cybersecurity which has the BeanBot SMS Malware dataset. The results of the classification use MinMaxScaler normalization and Chi-Square feature selection aimed at getting the best features on the dataset, which are then classified using the Random Forest algorithm. This research uses various variations of split data with test sizes 0.2, 0.3, and 0.4. The classification results of this study show that the Chi-Square feature selection with 30 selected features with a test size of 0.2 gets the best results, namely accuracy of 89.53%, Recall of 93.49%, Precision of 87.39%, False Positive Rate value and the best error value is at test size 0.4 with a False Positive Rate value of 9.67% and Error of 10.46%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003305	T77402	T774022022	Central Library (Referens)	Available but not for loan - Repaired

Detail Information

Series Title

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Call Number

T774022022

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer., 2022

Collation

xii, 48 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.430 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Android
JurusanSistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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