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Image of KLASIFIKASI SMS MALWARE PADA PLATFORM ANDROID DENGAN METODE SUPPORT VECTOR MACHINE

Skripsi

KLASIFIKASI SMS MALWARE PADA PLATFORM ANDROID DENGAN METODE SUPPORT VECTOR MACHINE

Raharjo, Ageng - Personal Name;

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Penilaian anda saat ini :  

Android is the most popular mobile software platform across the globe. The worldwide app downloads reached 352.9 billion in 2021. However, it still faces serious security threats due to its open-source nature. Android is susceptible to various malware variants that are packaged within APK (Android Package Kit) files and have permissions for SMS (Short Message Service). SMS is a technology used for sending text messages on Android devices. With the rapid advancement of technology, SMS is not immune to attacks or malicious activities. This type of malware can be automatically downloaded without the user's knowledge through short messages or SMS. Once downloaded, the malware can install other malicious applications on the user's device, posing a risk to privacy and personal data security. This research utilizes a dataset from CICAndMal2017 that focuses more on SMS malware, specifically the jifake and fakenotify types, using the Support Vector Machine algorithm. The classification results using the RBF kernel achieved a precision of 94.67%, recall of 94.67%, F-1 Score of 94.67%, and an accuracy of 95%. Meanwhile, the Support Vector Machine with the Polynomial kernel obtained a precision of 89.67%, recall of 90.33%, F1-Score of 89.67%, and an accuracy of 90%.


Availability
Inventory Code Barcode Call Number Location Status
2307003000T123372T1233722023Central Library (REFERENS)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T1233722023
Publisher
Indralaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023
Collation
xii, 66 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.84 07
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Sistem Komputer
Malware
Specific Detail Info
-
Statement of Responsibility
ANUG
Other version/related

No other version available

File Attachment
  • KLASIFIKASI SMS MALWARE PADA PLATFORM ANDROID DENGAN METODE SUPPORT VECTOR MACHINE
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