Citation

Sriyanto, Sriyanto and Sahrin, Sahib and Mohd. Faizal, Abdullah and Herman, Nanna Suryana and Suhendra, Adang (2022) MiMaLo: Advanced Normalization Method for Mobile Malware Detection. International Journal of Modern Education and Computer Science, 14 (5). pp. 24-33. ISSN 2075-0161

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Abstract

A range of research procedures have been executed to overcome malware attacks. This research used a malware behavior observe approach on device calls on mobile devices operating gadget kernel. An application used to be mounted on mobile gadget to gather facts and processed them to get dataset. This research used data mining classification approach method and validates it using ten fold cross validation. MiMaLo is a method to normalize a dataset the usage of the min-max aggregate and logarithm function. The application of the MiMaLo method aims to increase the accuracy value. Derived from the experiments, the classifiers overall performance level used to be extensively increasing. The application of the MiMaLo method using the neural network algorithm produces an accuracy of 93.54% with AUC of 0.982.

Item Type:	Article
Uncontrolled Keywords:	Mobile gadget , Malware Attack, Mobile Malware Detection, Normalization Methods, MiMaLo
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	31 Oct 2022 08:13
Last Modified:	01 Nov 2022 07:07
URII:	http://shdl.mmu.edu.my/id/eprint/10595

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