Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model. - Muhammad Rashid Naeem; Tao Lin; Hamad Naeem; Farhan Ullah 001; Saqib Saeed (IEEE Access, 2019)

Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach. - Farhan Ullah 001; Hamad Naeem; Sohail Jabbar; Shehzad Khalid; Muhammad Ahsan Latif; Fadi M. Al-Turjman; Leonardo Mostarda (IEEE Access, 2019)

Source Code Authorship Attribution Using Hybrid Approach of Program Dependence Graph and Deep Learning Model. - Farhan Ullah 001; Junfeng Wang 003; Sohail Jabbar; Fadi Al-Turjman 001; Mamoun Alazab (IEEE Access, 2019)

Identification of malicious code variants based on image visualization. - Hamad Naeem; Bing Guo; Muhammad Rashid Naeem; Farhan Ullah 001; 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 001; Muhammad Rashid Naeem (KSII Trans. Internet Inf. Syst., 2019)

An Efficient Framework for Text Document Security and Privacy. - Umair Khadam; Muhammad Munwar Iqbal; Leonardo Mostarda; Farhan Ullah 001 (SocialSec, 2020)

Malware detection in industrial internet of things based on hybrid image visualization and deep learning model. - Hamad Naeem; Farhan Ullah 001; Muhammad Rashid Naeem; Shehzad Khalid; Danish Vasan; Sohail Jabbar; Saqib Saeed (Ad Hoc Networks, 2020)

An intelligent decision support system for software plagiarism detection in academia. - Farhan Ullah 001; Sohail Jabbar; Leonardo Mostarda (Int. J. Intell. Syst., 2021)

Clone detection in 5G-enabled social IoT system using graph semantics and deep learning model. - Farhan Ullah 001; Muhammad Rashid Naeem; Leonardo Mostarda; Syed Aziz Shah (Int. J. Mach. Learn. Cybern., 2021)

A Deep Learning-based Approach for Emotions Classification in Big Corpus of Imbalanced Tweets. - Nasir Jamal; Chen Xianqiao; Fadi M. Al-Turjman; Farhan Ullah 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021)

Detection of clone scammers in Android markets using IoT-based edge computing. - Farhan Ullah 001; 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 001; Muhammad Rashid Naeem; Hamad Naeem; Xiaochun Cheng; Mamoun Alazab (Int. J. Intell. Syst., 2022)

A perspective trend of hyperelliptic curve cryptosystem for lighted weighted environments. - Shamsher Ullah; Jiangbin Zheng 001; Muhammad Tanveer Hussain; Nizamud Din; Farhan Ullah 001; Muhammad Umar Farooq 002 (J. Inf. Secur. Appl., 2022)

A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization. - Farhan Ullah 001; Gautam Srivastava 001; Shamsher Ullah (J. Cloud Comput., 2022)

A Deep Convolutional Neural Network Stacked Ensemble for Malware Threat Classification in Internet of Things. - Hamad Naeem; Xiaochun Cheng; Farhan Ullah 001; 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 001; Amjad Alsirhani; Mohammed Mujib Alshahrani; Abdullah Alomari; Hamad Naeem; Syed Aziz Shah (Sensors, 2022)

Cyber-Threat Detection System Using a Hybrid Approach of Transfer Learning and Multi-Model Image Representation. - Farhan Ullah 001; Shamsher Ullah; Muhammad Rashid Naeem; Leonardo Mostarda; Seungmin Rho; Xiaochun Cheng (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 001; Jihoon Moon; Hamad Naeem; Sohail Jabbar (J. Supercomput., 2022)

IoT-based Cloud Service for Secured Android Markets using PDG-based Deep Learning Classification. - Farhan Ullah 001; Muhammad Rashid Naeem; Abdullah S. Bajahzar; Fadi Al-Turjman 001 (ACM Trans. Internet Techn., 2022)

A typology of secure multicast communication over 5 G/6 G networks. - Nizamud Din; Abdul Waheed; Shamsher Ullah; Noor Ul Amin; Gautam Srivastava 001; Farhan Ullah 001; Jerry Chun-Wei Lin (Int. J. Inf. Sec., 2023)

Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis. - Farhan Ullah 001; Xiaochun Cheng; Leonardo Mostarda; Sohail Jabbar (J. Database Manag., 2023)

Elliptic Curve Cryptography; Applications, challenges, recent advances, and future trends: A comprehensive survey. - Shamsher Ullah; Jiangbin Zheng 001; Nizamud Din; Muhammad Tanveer Hussain; Farhan Ullah 001; Mahwish Yousaf (Comput. Sci. Rev., 2023)

Droid-MCFG: Android malware detection system using manifest and control flow traces with multi-head temporal convolutional network. - Farhan Ullah 001; Shamsher Ullah; Gautam Srivastava 001; Jerry Chun-Wei Lin (Phys. Commun., 2023)

Video Resources Recommendation for Online Tourism Teaching in Interactive Network. - Yang Yang; Haitao Shang; Nasir Jamal; Farhan Ullah 001 (Mob. Networks Appl., 2023)

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 001 (Expert Syst. Appl., 2023)

Dynamic Resource Allocation Techniques for Wireless Network Data in Elastic Optical Network Applications. - Jing Ge; Kangcheng Wu; Nasir Jamal; Farhan Ullah 001 (Mob. Networks Appl., 2023)

P2FL: Privacy-Preserving Federated Learning Approach for Healthcare Informatics at the Edge. - Farhan Ullah 001; Leonardo Mostarda; Diletta Cacciagrano; Hamad Naeem; Shamsher Ullah; Pradeep Chaudhary; Yue Zhao 014 (3PGCIC, 2024)

Homomorphic Cryptography Authentication Scheme to Eliminate Machine Tools Gaps in Industry 4.0. - Shamsher Ullah; Jianqiang Li 001; Farhan Ullah 001; Diletta Cacciagrano; Muhammad Tanveer Hussain; Victor C. M. Leung (AINA (6), 2024)

Collaborative Intrusion Detection System for Intermittent 10 Vs Using Federated Learning and Deep Swarm Particle Optimization. - Farhan Ullah 001; Gautam Srivastava 001; Leonardo Mostarda; Diletta Cacciagrano (DSAA, 2024)

IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic. - Farhan Ullah 001; Shamsher Ullah; Gautam Srivastava 001; Jerry Chun-Wei Lin (Digit. Commun. Networks, 2024)

Computational modeling of animal behavior in T-mazes: Insights from machine learning. - Ali Turab; Wutiphol Sintunavarat; Farhan Ullah 001; Shujaat Ali Zaidi; Andrés Montoyo; Josué-Antonio Nescolarde-Selva (Ecol. Informatics, 2024)

The revolution and vision of explainable AI for Android malware detection and protection. - Shamsher Ullah; Jian-Qiang Li 001; Farhan Ullah 001; Jie Chen 027; Ikram Ali; Salabat Khan; Abdul Ahad; Victor C. M. Leung (Internet Things, 2024)

An expert system for hybrid edge to cloud computational offloading in heterogeneous MEC-MCC environments. - Sheharyar Khan; Jiangbin Zheng 001; Muhammad Irfan 009; Farhan Ullah 001; Sohrab Khan (J. Netw. Comput. Appl., 2024)

Hybrid computing framework security in dynamic offloading for IoT-enabled smart home system. - Sheharyar Khan; Jiangbin Zheng 001; Farhan Ullah 001; Muhammad Pervez Akhter; Sohrab Khan; Fuad A. Awwad; Emad A. A. Ismail (PeerJ Comput. Sci., 2024)

Intelligent decision making for energy efficient fog nodes selection and smart switching in the IOT: a machine learning approach. - Rahat Ullah; Muhammad Yahya; Leonardo Mostarda; Abdullah Alshammari; Ahmed I. Alutaibi; Nadeem Sarwar; Farhan Ullah 001; Sibghat Ullah (PeerJ Comput. Sci., 2024)

Privacy-Preserving Federated Learning Approach for Distributed Malware Attacks With Intermittent Clients and Image Representation. - Farhan Ullah 001; Gautam Srivastava 001; Shamsher Ullah; Leonardo Mostarda (IEEE Trans. Consumer Electron., 2024)

NIDS-VSB: Network Intrusion Detection System for VANET Using Spark-Based Big Data Optimization and Transfer Learning. - Farhan Ullah 001; Gautam Srivastava 001; Shamsher Ullah; Kenji Yoshigoe; Yue Zhao 014 (IEEE Trans. Consumer Electron., 2024)

Intelligent multimedia content delivery in 5G/6G networks: A reinforcement learning approach. - Muhammad Jamshaid Iqbal; Muhammad Farhan; Farhan Ullah 001; Gautam Srivastava 001; Sohail Jabbar (Trans. Emerg. Telecommun. Technol., 2024)

A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging. - Farhan Ullah 001; Gautam Srivastava 001; Heng Xiao; Shamsher Ullah; Jerry Chun-Wei Lin; Yue Zhao 014 (IEEE J. Biomed. Health Informatics, 2024)

Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory. - Farhan Ullah 001; Ali Turab; Shamsher Ullah; Diletta Cacciagrano; Yue Zhao 014 (Sensors, 2024)

NMal-Droid: network-based android malware detection system using transfer learning and CNN-BiGRU ensemble. - Farhan Ullah 001; Shamsher Ullah; Gautam Srivastava 001; Jerry Chun-Wei Lin; Yue Zhao 014 (Wirel. Networks, 2024)

A Lightweight Zero Trust Framework for Secure 5G VANET Vehicular Communication. - Muhammad Jamil; Muhammad Farhan; Farhan Ullah 001; Gautam Srivastava 001 (IEEE Wirel. Commun., 2024)

A Deep Learning-Based RIDNet Approach for Enhanced Denoising of SAR Images. - Muhammad Pervez Akhter; Farhan Ullah 001; Leonardo Mostarda; Diletta Cacciagrano (AINA (7), 2025)

ActionSync Video Transformation: Automated Object Removal and Responsive Effects in Motion Videos Using Hybrid CNN and GRU. - Muhammad Asif Habib; Umar Raza; Sohail Jabbar; Muhammad Farhan; Farhan Ullah 001 (IEEE Access, 2025)

Advanced EEG Signal Processing and Deep Q-Learning for Accurate Student Attention Monitoring. - Asad Ur Rehman; Noor Ul Eman; Farhan Ullah 001; Diletta Cacciagrano; Leonardo Mostarda; Nabeel Raza (IEEE Access, 2025)

Measuring student attention based on EEG brain signals using deep reinforcement learning. - Asad Ur Rehman; Xiaochuan Shi; Farhan Ullah 001; Zepeng Wang; Chao Ma 008 (Expert Syst. Appl., 2025)

Elevating e-health excellence with IOTA distributed ledger technology: Sustaining data integrity in next-gen fog-driven systems. - Waqas Ahmed; Waseem Iqbal 001; Ammar Hassan; Awais Ahmad 001; Farhan Ullah 001; Gautam Srivastava 001 (Future Gener. Comput. Syst., 2025)

Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization. - Hamad Naeem; Farhan Ullah 001; Ondrej Krejcar; Deguang Li; Danish Vasan (Int. J. Crit. Infrastructure Prot., 2025)

THE-TAFL: Transforming Healthcare Edge with Transformer-based Adaptive Federated Learning and Learning Rate Optimization. - Farhan Ullah 001; Nazeeruddin Mohammad; Leonardo Mostarda; Diletta Cacciagrano; Shamsher Ullah; Yue Zhao 014 (Internet Things, 2025)

A Stochastic Prototypical Network for Few-Shot Intrusion Detection in CAN-Based IoV Network. - Jawad Ahmad 001; Shahid Latif; Djamel Djenouri; Farhan Ullah 001; Muhammad Shahbaz Khan; Malik Muhammad Saad 001; Rutvij H. Jhaveri; Priyanka Verma 001 (IEEE Open J. Commun. Soc., 2025)

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

Homomorphic Encryption Applications for IoT and Light-Weighted Environments: A Review. - Shamsher Ullah; Jianqiang Li 001; Jie Chen 027; Ikram Ali; Salabat Khan; Muhammad Tanveer Hussain; Farhan Ullah 001; Victor C. M. Leung (IEEE Internet Things J., 2025)

Efficient malware detection using hybrid approach of transfer learning and generative adversarial examples with image representation. - Yue Zhao 014; Farhan Ullah 001; Chien-Ming Chen 001; Mohammed Amoon; Saru Kumari (Expert Syst. J. Knowl. Eng., 2025)

Semantic-Based Federated Defense for Distributed Malicious Attacks. - Farhan Ullah 001; Leonardo Mostarda; Diletta Cacciagrano; Chien-Ming Chen 001; Saru Kumari (IEEE Consumer Electron. Mag., 2025)

A Survey on Emerging Trends and Applications of 5G and 6G to Healthcare Environments. - Shamsher Ullah; Jianqiang Li 001; Jie Chen 027; Ikram Ali; Salabat Khan; Abdul Ahad; Farhan Ullah 001; Victor C. M. Leung (ACM Comput. Surv., 2025)

TCAD-Net: Integrating Transformer and Convolution for Weakly Supervised Anomaly Data Discovery. - Hongping Gan; Hejie Zheng; Josué-Antonio Nescolarde-Selva; Yunong Chen; Zhangfa Wu; Farhan Ullah 001 (IEEE Trans. Consumer Electron., 2025)

Federated Edge Intelligence for Enhanced Security in Consumer Intermittent Healthcare Devices Using Adversarial Examples. - Farhan Ullah 001; Leonardo Mostarda; Diletta Cacciagrano; Mohammed J. F. Alenazi; Chien-Ming Chen 001; Saru Kumari (IEEE Trans. Consumer Electron., 2025)

Q-P2FL: Quantum-Enhanced Federated Edge Intelligence for Privacy-Preserving Adversarial Attack Detection on Consumer Edge Devices. - Farhan Ullah 001; Nazeeruddin Mohammad; Leonardo Mostarda; Diletta Cacciagrano; Yue Zhao 014 (IEEE Trans. Consumer Electron., 2025)

Metaheuristic-Driven Secure Task Optimization for Consumer Edge Devices. - Farhan Ullah 001; Leonardo Mostarda; Diletta Cacciagrano; Chien-Ming Chen 001; Mohammed Amoon; Saru Kumari (IEEE Consumer Electron. Mag., 2025)

Adaptive IoT Defense With Deep Q-Learning Model for DNS Spoofing Prevention in Self-Organizing Networks. - Mehwish Naseer; Farhan Ullah 001; Jawad Ahmad 001; Rutvij H. Jhaveri; Thippa Reddy Gadekallu (IEEE Commun. Stand. Mag., 2025)