Yazar "Bakour, Khaled" için listeleme
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Android malware detection based on image-based features and machine learning techniques
Unver, Halil Murat; Bakour, Khaled (SPRINGER INTERNATIONAL PUBLISHING AG, 2020)In this paper, a malware classification model has been proposed for detecting malware samples in the Android environment. The proposed model is based on converting some files from the source of the Android applications ... -
The Android malware detection systems between hope and reality
Bakour, Khaled; Unver, Halil Murat; Ghanem, Razan (Springer International Publishing Ag, 2019)The widespread use of Android-based smartphones made it an important target for malicious applications' developers. So, a large number of frameworks have been proposed to tackle the huge number of daily published malwares. ... -
The Android Malware Static Analysis: Techniques, Limitations, and Open Challenges
Bakour, Khaled; Unver, H. Murat; Ghanem, Razan (Ieee, 2018)This paper aims to explain static analysis techniques in detail, and to highlight the weaknesses and challenges which face it. To this end, more than 80 static analysis based framework have been studied, and in their light, ... -
A Deep Camouflage: Evaluating Android's Anti-malware Systems Robustness Against Hybridization of Obfuscation Techniques with Injection Attacks
Bakour, Khaled; Unver, Halil Murat; Ghanem, Razan (Springer Heidelberg, 2019)The threats facing smartphones have become one of the most dangerous cyberspace threats; therefore, many solutions have been developed in the commercial or academic domain to address these threats. This paper aims to test ... -
An Intrusion Detection System Based on a Hybrid Tabu-Genetic Algorithm
Bakour, Khaled; Das, Gulesin Sena; Unver, H. Murat (Ieee, 2017)In this paper, we proposed a framework for detecting network's intrusions using Genetic Algorithm (GA) with multiple criteria. First of all, we build an intrusion detection system (IDS) using a pure GA with multiple selection ... -
VisDroid: Android malware classification based on local and global image features, bag of visual words and machine learning techniques
Bakour, Khaled; Unver, Halil Murat (SPRINGER LONDON LTD, 2020)In this paper, VisDroid, a novel generic image-based classification method has been suggested and developed for classifying the Android malware samples into its families. To this end, five grayscale image datasets each of ...
