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MiMaLo: advanced normalization method for mobile malware detection

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...

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Main Authors: Sriyanto, Sahib @ Sahibuddin, Shahrin, Abdollah, Mohd Faizal, Suryana, Nanna, Suhendra, Adang
Format: Article
Language:English
Published: Modern Education and Computer Science Press 2022
Online Access:http://eprints.utem.edu.my/id/eprint/26498/2/IJMECS-V14-N5-3.PDF
http://eprints.utem.edu.my/id/eprint/26498/
https://www.mecs-press.org/ijmecs/ijmecs-v14-n5/IJMECS-V14-N5-3.pdf
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id my.utem.eprints.26498
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spelling my.utem.eprints.264982023-02-28T08:12:16Z http://eprints.utem.edu.my/id/eprint/26498/ MiMaLo: advanced normalization method for mobile malware detection Sriyanto Sahib @ Sahibuddin, Shahrin Abdollah, Mohd Faizal Suryana, Nanna Suhendra, Adang 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. Modern Education and Computer Science Press 2022-10 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26498/2/IJMECS-V14-N5-3.PDF Sriyanto and Sahib @ Sahibuddin, Shahrin and Abdollah, Mohd Faizal and Suryana, Nanna and Suhendra, Adang (2022) MiMaLo: advanced normalization method for mobile malware detection. International Journal of Modern Education and Computer Science (IJMECS), 14 (5). pp. 24-33. ISSN 2075-0161 https://www.mecs-press.org/ijmecs/ijmecs-v14-n5/IJMECS-V14-N5-3.pdf 10.5815/ijmecs.2022.05.03
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description 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.
format Article
author Sriyanto
Sahib @ Sahibuddin, Shahrin
Abdollah, Mohd Faizal
Suryana, Nanna
Suhendra, Adang
spellingShingle Sriyanto
Sahib @ Sahibuddin, Shahrin
Abdollah, Mohd Faizal
Suryana, Nanna
Suhendra, Adang
MiMaLo: advanced normalization method for mobile malware detection
author_facet Sriyanto
Sahib @ Sahibuddin, Shahrin
Abdollah, Mohd Faizal
Suryana, Nanna
Suhendra, Adang
author_sort Sriyanto
title MiMaLo: advanced normalization method for mobile malware detection
title_short MiMaLo: advanced normalization method for mobile malware detection
title_full MiMaLo: advanced normalization method for mobile malware detection
title_fullStr MiMaLo: advanced normalization method for mobile malware detection
title_full_unstemmed MiMaLo: advanced normalization method for mobile malware detection
title_sort mimalo: advanced normalization method for mobile malware detection
publisher Modern Education and Computer Science Press
publishDate 2022
url http://eprints.utem.edu.my/id/eprint/26498/2/IJMECS-V14-N5-3.PDF
http://eprints.utem.edu.my/id/eprint/26498/
https://www.mecs-press.org/ijmecs/ijmecs-v14-n5/IJMECS-V14-N5-3.pdf
_version_ 1759693075590938624
score 13.251813

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