INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A REVIEW ON MULTIMODAL DEEP LEARNING METHOD FOR ANDROID MALWARE DETECTION
Authors Name:
AFSANA
, Dr. SAYED ABDULHAYAN
Unique Id:
IJSDR1905014
Published In:
Volume 4 Issue 5, May-2019
Abstract:
With the global use of smart phones, the number of malware has been increasing rapidly. Among all the smart devices, Android devices are the most targeted devices by malware due to their high popularity. This paper set forth a framework for Android malware detection and prevention. The various kinds of features are used by the framework to reflect the various properties of the Android applications from different aspects , and the features are refined using similar based or existence based of feature extraction method for feature representation of malware detection and prevention. For this a multimodal deep learning method is introduced and to be used as a malware detection and prevention model for Androids. With this detection model , it will be possible to gain the maximum benefits of multiple features. To estimate performance , various experiments are carried out and the accuracy of the model is the deep neural network models. Further the framework is evaluated in various types of aspects such as efficiency of model in updates usefulness of the diverse features and the representation of the feature method.
"A REVIEW ON MULTIMODAL DEEP LEARNING METHOD FOR ANDROID MALWARE DETECTION ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 5, page no.84 - 86, May-2019, Available :http://www.ijsdr.org/papers/IJSDR1905014.pdf
Downloads:
000336257
Publication Details:
Published Paper ID: IJSDR1905014
Registration ID:190496
Published In: Volume 4 Issue 5, May-2019
DOI (Digital Object Identifier):
Page No: 84 - 86
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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