KLASIFIKASI MALWARE TROJAN HORSE DENGAN METODE GATED RECCURENT UNIT (GRU)

SIMAMORA, VANESA and Stiawan, Deris and Afifah, Nurul (2024) KLASIFIKASI MALWARE TROJAN HORSE DENGAN METODE GATED RECCURENT UNIT (GRU). Undergraduate thesis, Sriwijaya University.

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Abstract

Di era digital saat ini, teknologi merupakan bagian penting dalam kehidupan sehari-hari, yang juga meningkatkan risiko kejahatan siber. Trojan Horse adalah jenis malware yang menyamar sebagai program sah sehingga dapat diunduh ke komputer atau perangkat seluler. Dalam penelitian ini, penulis mengusulkan metode Gated Recurrent Unit (GRU) untuk mengklasifikasi malware dengan menggunakan dataset CIC-MalMem-2022. Hasil penelitian menunjukkan bahwa metode ini mencapai akurasi sebesar 98,39%.

Item Type:	Thesis (Undergraduate)
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics > Q325.5 Machine learning Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Vanesa Valentina
Date Deposited:	11 Jul 2024 08:13
Last Modified:	11 Jul 2024 08:13
URI:	http://repository.unsri.ac.id/id/eprint/150393

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