Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/19006
Title: | Deep Convolutional Generative Adversarial Networks for Intent-based Dynamic Behavior Capture |
Authors: | Salman Jan Shahrulniza Musa Toqeer Ali Ali Alzahrani |
Keywords: | Android security Malware detection Deep Learning DCGAN |
Issue Date: | 9-Jul-2018 |
Abstract: | Malware analysis for Android systems has been the focus of considerable research in the past few years due to the large customer base moving towards Android, which has attracted a corresponding number of malware writers. Several techniques have been used to detect the malicious behavior of Android applications as well as that of the complete system. Machine-learning techniques have been used in the past to assess the behavior of an application using either static or dynamic analysis |
Description: | Venue : Malaysian Institute of Information Technology, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia |
URI: | http://ir.unikl.edu.my/jspui/handle/123456789/19006 |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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deep convolutional.pdf | 16.34 kB | Adobe PDF | View/Open Request a copy |
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