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On Malware Detection on Android Smartphones
Faculty
Computer Science
Year:
2020
Type of Publication:
ZU Hosted
Pages:
Authors:
Eman selim
Staff Zu Site
Abstract In Staff Site
Journal:
International Journal for Research in Applied Science & Engineering Technology (IJRASET) IJRASET
Volume:
Keywords :
, Malware Detection , Android Smartphones
Abstract:
Smartphones plays an important role in our daily life. They have become a significant part of our daily life. They can be used in many fields such as online banking, online learning, social networking, web browsing, etc. The large increase in the use of smartphones leads to a large increase in generating mobile malware. In this paper, we discuss various mobile malware types and datasets used for mobile malware detection process. We also survey various mobile malware detection techniques. General Terms: Malware, Malware Types, Android, Machine Learning and Android Malware Detection Approaches.
Author Related Publications
Eman selim, "A Lightweight Android Malware Classifier Using Novel Feature Selection Methods", MDPI, 2020
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Walid Ibrahim Ibrahim Khedr, "Ad-hoc on Demand Authentication Chain Protocol - An Authentication Protocol for Ad-Hoc Networks", Institute for Systems and Technologies of Information, Control and Communication, 2015
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Khalied Mohamed Hosny, "Robust Color Image Hashing Using Quaternion Polar Complex Exponential Transform for Image Authentication", Springer, 2018
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Asmaa Mohamed Khalid Mohamed Abbas, "Efficient compression of volumetric medical images using Legendre moments and differential evolution", Springer, 2020
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