Bakour, Khaled: search on Z-Library

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1

Android malware detection based on image-based features and machine learning techniques

Ãnver, Halil Murat, Bakour, Khaled

Journal:

SN Applied Sciences

Year:

2020

File:

PDF, 1.90 MB

2020

2

VisDroid: Android malware classification based on local and global image features, bag of visual words and machine learning techniques

Bakour, Khaled, Ãnver, Halil Murat

Journal:

Neural Computing and Applications

Year:

2020

File:

PDF, 1.80 MB

2020

3

[IEEE 2018 3rd International Conference on Computer Science and Engineering (UBMK) - Sarajevo, Bosnia and Herzegovina (2018.9.20-2018.9.23)] 2018 3rd International Conference on Computer Science and Engineering (UBMK) - The Android Malware Static Analysis: Techniques, Limitations, and Open Challenges

Bakour, Khaled, Unver, H. Murat, Ghanem, Razan

Year:

2018

File:

PDF, 302 KB

2018

4

A Deep Camouflage: Evaluating Android’s Anti-malware Systems Robustness Against Hybridization of Obfuscation Techniques with Injection Attacks

Bakour, Khaled, Ünver, Halil Murat, Ghanem, Razan

Journal:

Arabian Journal for Science and Engineering

Year:

2019

File:

PDF, 1.22 MB

2019

5

Aortic cusp sizers to establish the functional classification of aortic insufficiency: algorithm and midterm outcome of operative repair

Izzat, Mohammad Bashar, Hamzeh, Khaled, Mahmoud, Fadi, Bakour, Mohammad M.

Journal:

Interactive Cardiovascular and Thoracic Surgery

Year:

2015

Language:

english

File:

PDF, 161 KB

english, 2015

6

[IEEE 2017 International Conference on Computer Science and Engineering (UBMK) - Antalya, Turkey (2017.10.5-2017.10.8)] 2017 International Conference on Computer Science and Engineering (UBMK) - An intrusion detection system based on a hybrid Tabu-genetic algorithm

Bakour, Khaled, Das, Gulesin Sena, Unver, H. Murat

Year:

2017

Language:

english

File:

PDF, 171 KB

english, 2017

7

The Android malware detection systems between hope and reality

Bakour, Khaled, Ünver, Halil Murat, Ghanem, Razan

Journal:

SN Applied Sciences

Year:

2019

Language:

english

File:

PDF, 2.33 MB

english, 2019

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