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Image of CLUSTERING ANDROID MALWARE BERDASARKAN FREKUENSI SYSTEM CALL MENGGUNAKAN K-MEANS

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CLUSTERING ANDROID MALWARE BERDASARKAN FREKUENSI SYSTEM CALL MENGGUNAKAN K-MEANS

Badrus, Muhammad Zufar - Personal Name;

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In the security sector, malware that specifically attacks smartphones is growing faster and more sophisticated. Malware is becoming more and more powerful in carrying out criminal acts, such as stealing and destroying important data and information stored on mobile phones, thus demanding the creation of an anti-malware system that can prevent and detect when carrying out malware attacks on smart phones. From these results. Based on the research, it shows that the accuracy of the dataset without feature selection is 50% and the dataset with the feature selection method is 60%. Can Lock Feature selection can reduce the number of features that will be used for classification purposes, but does not significantly increase the accuracy of the results.


Availability
Inventory Code Barcode Call Number Location Status
2207004722T82861T828612022Central Library (Referens)Available but not for loan - Not for Loan
Detail Information
Series Title
-
Call Number
T828612022
Publisher
Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022
Collation
xiv, 52 hlm.; ilus.; 29 cm
Language
Indonesia
ISBN/ISSN
-
Classification
005.840 7
Content Type
-
Media Type
-
Carrier Type
-
Edition
-
Subject(s)
Jurusan Sistem Komputer
Malware
Specific Detail Info
-
Statement of Responsibility
SEPTA
Other version/related

No other version available

File Attachment
  • CLUSTERING ANDROID MALWARE BERDASARKAN FREKUENSI SYSTEM CALL MENGGUNAKAN K-MEANS
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