PENDETEKSIAN MALWARE ANDROID MENGGUNAKAN PENGGABUNGAN ALGORITMA N-GRAM DAN ALGORITMA BACKPROPAGATION

OCTALIA, SERLY and Sazaki, Yoppy and Miraswan, Kanda Januar (2018) PENDETEKSIAN MALWARE ANDROID MENGGUNAKAN PENGGABUNGAN ALGORITMA N-GRAM DAN ALGORITMA BACKPROPAGATION. Undergraduate thesis, Sriwijaya University.

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Abstract

Malicious software development has become a serious threat to the security of android system, especially a new malicious software. There are new malicious software cannot be detected by conventional antivirus. This study created a framework for building software to detect and measure the accuracy of new and existing malware detection. In this study using combination of n-gram algorithm and backpropagation algorithm. N-gram algorithm is done statically so it needs a backpropagation algorithm so that the detection can be done dynamically. The application of combination n-gram algorithm and backpropagation algorithm successfully detect Droiddream type malware and this research can also detect malware variants, among other DroidKungfu, BaseBridge and DroidCoupon although it produce low accuracy. Therefore, this research can help in detecting a Droiddream, DroidKungFu, BaseBridge and DroidCoupon types of android malware on user devices for the safety and comfort of the user.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Keywords: Malicious software, Malware scanner, N-Gram, Backpropagation
Subjects:	T Technology > T Technology (General) > T58.6-58.62 Management information systems
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Mrs Sri Astuti
Date Deposited:	25 Sep 2019 01:43
Last Modified:	25 Sep 2019 01:43
URI:	http://repository.unsri.ac.id/id/eprint/8752

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