A Two Layer Deep Learning Method For Android Malware Detection Using Network Traffic

June 14, 2026
Topic Brief: The 4th Edition of the International Conference on Advanced Aspects of Software Engineering (ICAASE'20) Fatima Bourabaa and ... Authors: Wijdan Choukri (Moulay Ismail University, Morocco) Hanane Lamaazi (Center on Cyber-Physical Systems, Khalifa ...

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The 4th Edition of the International Conference on Advanced Aspects of Software Engineering (ICAASE'20) Fatima Bourabaa and ... Current technological advancement in computer systems has transformed the lives of humans from real to virtual environments. Author Nguyen Tan Cam, Nguyen Cam Hong Phuoc, Department of Science and Technology, Hoa Sen University, HoChiMinh ...

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Author Nguyen Tan Cam, Nguyen Cam Hong Phuoc, Department of Science and Technology, Hoa Sen University, HoChiMinh ... Authors: Wijdan Choukri (Moulay Ismail University, Morocco) Hanane Lamaazi (Center on Cyber-Physical Systems, Khalifa ...

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  • Author Nguyen Tan Cam, Nguyen Cam Hong Phuoc, Department of Science and Technology, Hoa Sen University, HoChiMinh ...
  • The 4th Edition of the International Conference on Advanced Aspects of Software Engineering (ICAASE'20) Fatima Bourabaa and ...
  • Current technological advancement in computer systems has transformed the lives of humans from real to virtual environments.
  • Authors: Wijdan Choukri (Moulay Ismail University, Morocco) Hanane Lamaazi (Center on Cyber-Physical Systems, Khalifa ...

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Reference Image Set

A Two Layer Deep Learning Method for Android Malware Detection Using Network Traffic
MalDozer: Automatic Framework for Android Malware Chasing Using Deep Learning
Automated Android Malware Detection Using Optimal Ensemble Learning Approach for Cybersecurity
ICAASE 2020 | Android Malware Detection using Convolutional Deep Neural Networks
DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image
Usage of deep learning in Cyber security [2022]
Abnormal Network Traffic Detection using Deep Learning Models in IoT environment
[FSE 2022] On the Impact of Sample Duplication in Machine Learning based Android Malware Detection
Graduate Research 23: Machine Learning Techniques for Malware Network Traffic Detection
NeSeDroid - Android malware detection based on network traffic and sensitive resource accessing
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A Two Layer Deep Learning Method for Android Malware Detection Using Network Traffic

A Two Layer Deep Learning Method for Android Malware Detection Using Network Traffic

Read more details and related context about A Two Layer Deep Learning Method for Android Malware Detection Using Network Traffic.

MalDozer: Automatic Framework for Android Malware Chasing Using Deep Learning

MalDozer: Automatic Framework for Android Malware Chasing Using Deep Learning

ElMouatez Billah Karbab discusses his work at DFRWS EU 2018.

Automated Android Malware Detection Using Optimal Ensemble Learning Approach for Cybersecurity

Automated Android Malware Detection Using Optimal Ensemble Learning Approach for Cybersecurity

Current technological advancement in computer systems has transformed the lives of humans from real to virtual environments.

ICAASE 2020 | Android Malware Detection using Convolutional Deep Neural Networks

ICAASE 2020 | Android Malware Detection using Convolutional Deep Neural Networks

The 4th Edition of the International Conference on Advanced Aspects of Software Engineering (ICAASE'20) Fatima Bourabaa and ...

DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image

DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image

Read more details and related context about DexRay: A Simple, yet Effective Deep Learning Approach to Android Malware Detection based on Image.

Usage of deep learning in Cyber security [2022]

Usage of deep learning in Cyber security [2022]

Read more details and related context about Usage of deep learning in Cyber security [2022].

Abnormal Network Traffic Detection using Deep Learning Models in IoT environment

Abnormal Network Traffic Detection using Deep Learning Models in IoT environment

Authors: Wijdan Choukri (Moulay Ismail University, Morocco) Hanane Lamaazi (Center on Cyber-Physical Systems, Khalifa ...

[FSE 2022] On the Impact of Sample Duplication in Machine Learning based Android Malware Detection

[FSE 2022] On the Impact of Sample Duplication in Machine Learning based Android Malware Detection

Read more details and related context about [FSE 2022] On the Impact of Sample Duplication in Machine Learning based Android Malware Detection.

Graduate Research 23: Machine Learning Techniques for Malware Network Traffic Detection

Graduate Research 23: Machine Learning Techniques for Malware Network Traffic Detection

Read more details and related context about Graduate Research 23: Machine Learning Techniques for Malware Network Traffic Detection.

NeSeDroid - Android malware detection based on network traffic and sensitive resource accessing

NeSeDroid - Android malware detection based on network traffic and sensitive resource accessing

Author Nguyen Tan Cam, Nguyen Cam Hong Phuoc, Department of Science and Technology, Hoa Sen University, HoChiMinh ...