Muhammad Rashid Naeem

According to our database, Muhammad Rashid Naeem authored at least 11 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

IoT-based Cloud Service for Secured Android Markets using PDG-based Deep Learning Classification.

Farhan Ullah, Muhammad Rashid Naeem, Abdullah S. Bajahzar, Fadi Al-Turjman

ACM Trans. Internet Techn., 2022

Cyber-Threat Detection System Using a Hybrid Approach of Transfer Learning and Multi-Model Image Representation.

Farhan Ullah, Shamsher Ullah, Muhammad Rashid Naeem, Leonardo Mostarda, Seungmin Rho, Xiaochun Cheng

Sensors, 2022

CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model.

Farhan Ullah, Muhammad Rashid Naeem, Hamad Naeem, Xiaochun Cheng, Mamoun Alazab

Int. J. Intell. Syst., 2022

Detection of clone scammers in Android markets using IoT-based edge computing.

Farhan Ullah, Hamad Naeem, Muhammad Rashid Naeem, Sohail Jabbar, Shehazad Khalid, Fadi Al-Turjman, Abdelrahman Abuarqoub

Trans. Emerg. Telecommun. Technol., 2022

2021

Clone detection in 5G-enabled social IoT system using graph semantics and deep learning model.

Farhan Ullah, Muhammad Rashid Naeem, Leonardo Mostarda, Syed Aziz Shah

Int. J. Mach. Learn. Cybern., 2021

2020

A machine learning approach for classification of equivalent mutants.

Muhammad Rashid Naeem, Tao Lin, Hamad Naeem, Hailu Liu

J. Softw. Evol. Process., 2020

Malware detection in industrial internet of things based on hybrid image visualization and deep learning model.

Hamad Naeem, Farhan Ullah, Muhammad Rashid Naeem, Shehzad Khalid, Danish Vasan, Sohail Jabbar, Saqib Saeed

Ad Hoc Networks, 2020

2019

A Cross-Platform Malware Variant Classification based on Image Representation.

Hamad Naeem, Bing Guo, Farhan Ullah, Muhammad Rashid Naeem

KSII Trans. Internet Inf. Syst., 2019

Identification of malicious code variants based on image visualization.

Hamad Naeem, Bing Guo, Muhammad Rashid Naeem, Farhan Ullah, Hamza Aldabbas, Muhammad Sufyan Javed

Comput. Electr. Eng., 2019

Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model.

Muhammad Rashid Naeem, Tao Lin, Hamad Naeem, Farhan Ullah, Saqib Saeed

IEEE Access, 2019

2014

A New Web Based Student Annual Review Information System (SARIS) With Student Success Prediction.

Adeel Akbar Memon, Chengliang Wang, Muhammad Rashid Naeem, Muhammad Tahir, Muhammad Aamir

CoRR, 2014