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DETEKSI ANOMALY PDF MALWARE PADA AGREGATOR NASIONAL (GARUDA) KEMDIKBUD DIKTI DENGAN SUPPORT VECTOR MACHINE

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Penilaian

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Garba Rujukan Digital (GARUDA) is a repository for articles in PDF files, All PDF files have metadata that can be used by hackers so that PDF files become PDF Malware. In the metadata of PDF Malware there are encrypting code that is used by hackers to run malware. Therefore, the focus of this research is the detection of anomalies from PDF Malware based on metadata obtained from the extraction using PDFiD, then it is used as a feature for the multiclass classification process, namely PDF Benign, PDF-html, and PDF-Malware using Support Vector Machines. The results of the classification with the RBF kernel obtained a precision value of 88.67%, recall of 87%, F-1 Score of 86.67% and 87% accuracy and Support Vector Machine with Polynomial kernel obtained a precision value of 83%, recall of 80%, F1 -Score of 78.3% and accuracy of 80%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003220	T77262	T772622022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T772622022

Publisher

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

Collation

xiii, 47 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

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)

Sistem Pakar
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

SEPTA

Other version/related

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