A Hybrid Proposed Framework for Object Detection and Classification. - Muhammad Aamir 002; Yi-Fei Pu; Ziaur Rahman 002; Waheed Ahmed Abro; Hamad Naeem; Farhan Ullah; Aymen Mudheher Badr (J. Inf. Process. Syst., 2018)

Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model. - Muhammad Rashid Naeem; Tao Lin; Hamad Naeem; Farhan Ullah; Saqib Saeed (IEEE Access, 2019)

Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach. - Farhan Ullah; Hamad Naeem; Sohail Jabbar; Shehzad Khalid; Muhammad Ahsan Latif; Fadi M. Al-Turjman; Leonardo Mostarda (IEEE Access, 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)

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)

A Framework for Automatic Building Detection from Low-Contrast Satellite Images. - Muhammad Aamir 002; Yi-Fei Pu; Ziaur Rahman 002; Muhammad Tahir; Hamad Naeem; Qiang Dai (Symmetry, 2019)

Detection of Malicious Activities in Internet of Things Environment Based on Binary Visualization and Machine Intelligence. - Hamad Naeem (Wirel. Pers. Commun., 2019)

Underwater Pragmatic Routing Approach Through Packet Reverberation Mechanism. - Shahzad Ashraf; Mingsheng Gao; Zhengming Chen; Hamad Naeem; Arshad Ahmad 002; Tauqeer Ahmed (IEEE Access, 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)

IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture. - Danish Vasan; Mamoun Alazab; Sobia Wassan; Hamad Naeem; Babak Safaei; Zheng Qin 003 (Comput. Networks, 2020)

A machine learning approach for classification of equivalent mutants. - Muhammad Rashid Naeem; Tao Lin; Hamad Naeem; Hailu Liu (J. Softw. Evol. Process., 2020)

USPF: Underwater Shrewd Packet Flooding Mechanism through Surrogate Holding Time. - Shahzad Ashraf; Mingsheng Gao; Zheng Mingchen; Tauqeer Ahmed; Asif Raza; Hamad Naeem (Wirel. Commun. Mob. Comput., 2020)

A CNN-LSTM network with multi-level feature extraction-based approach for automated detection of coronavirus from CT scan and X-ray images. - Hamad Naeem; Ali Abdulqader Bin-Salem (Appl. Soft Comput., 2021)

Corrigendum to "USPF: Underwater Shrewd Packet Flooding Mechanism through Surrogate Holding Time". - Shahzad Ashraf; Mingsheng Gao; Zhengming Chen; Tauqeer Ahmed; Asif Raza; Hamad Naeem (Wirel. Commun. Mob. Comput., 2021)

Efficient models for enhancing the link adaptation performance of LTE/LTE-A networks. - Ali Abdulqader Bin-Salem; Tat Chee Wan; Hamad Naeem; Mohammed Anbar; Sabri M. Hanshi; Abdellah Redjaimia (EURASIP J. Wirel. Commun. Netw., 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 001; Abdelrahman Abuarqoub (Trans. Emerg. Telecommun. Technol., 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)

A Deep Convolutional Neural Network Stacked Ensemble for Malware Threat Classification in Internet of Things. - Hamad Naeem; Xiaochun Cheng; Farhan Ullah; Sohail Jabbar; Shi Dong (J. Circuits Syst. Comput., 2022)

Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation. - Farhan Ullah; Amjad Alsirhani; Mohammed Mujib Alshahrani; Abdullah Alomari; Hamad Naeem; Syed Aziz Shah (Sensors, 2022)

Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model. - Farhan Ullah; Jihoon Moon; Hamad Naeem; Sohail Jabbar (J. Supercomput., 2022)

CED-OR Based Opportunistic Routing Mechanism for Underwater Wireless Sensor Networks. - Shahzad Ashraf; Mingsheng Gao; Zhengming Chen; Hamad Naeem; Tauqeer Ahmed (Wirel. Pers. Commun., 2022)

Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification. - Hamad Naeem; Shi Dong; Olorunjube James Falana; Farhan Ullah (Expert Syst. Appl., 2023)

P2FL: Privacy-Preserving Federated Learning Approach for Healthcare Informatics at the Edge. - Farhan Ullah; Leonardo Mostarda; Diletta Cacciagrano; Hamad Naeem; Shamsher Ullah; Pradeep Chaudhary; Yue Zhao 014 (3PGCIC, 2024)

FHG-PR: a hybridized fuzzy-AHP and game theory model for assessing privacy risk on social media platforms. - Olorunjube James Falana; Trust Ojeaga; Hamad Naeem; Dada Olaniyi Aborisade; Amjad Alsirhani; Faeiz Alserhani (Frontiers Comput. Sci., 2024)

Exploring Advanced Quantum Ensemble for Industrial Control Systems Security. - Danish Vasan; Mohammad Shameem; Mohammad Hammoudeh; Mussadiq Abdul Rahim; Hamad Naeem; Adel Fadhl Ahmed (SIGSOFT FSE Companion, 2025)

Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization. - Hamad Naeem; Farhan Ullah; Ondrej Krejcar; Deguang Li; Danish Vasan (Int. J. Crit. Infrastructure Prot., 2025)

Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization. - Hamad Naeem; Farhan Ullah; Gautam Srivastava 001 (Expert Syst. J. Knowl. Eng., 2025)