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ORCIDFarhan Ullah 0001
Person information
- affiliation: Prince Mohammad Bin Fahd University, Dhahran, Saudi Arabia
Other persons with the same name
- Farhan Ullah — disambiguation page
- Farhan Ullah 0002
![[0000-0001-7971-7992]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7971-7992")
— XWuxi University, Wuxi, China - Farhan Ullah 0003 — Khyber Pakhtunkhwa, Pakistan
- Farhan Ullah 0004 — Northwestern Polytechnical University, Xi'an, China
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2020 – today
- 2025
[j59]Asad Ur Rehman, Noor Ul Eman, Farhan Ullah, Diletta Cacciagrano, Leonardo Mostarda, Nabeel Raza:
Advanced EEG Signal Processing and Deep Q-Learning for Accurate Student Attention Monitoring. IEEE Access 13: 47260-47270 (2025)- [j58]Muhammad Asif Habib, Umar Raza, Sohail Jabbar, Muhammad Farhan, Farhan Ullah:
ActionSync Video Transformation: Automated Object Removal and Responsive Effects in Motion Videos Using Hybrid CNN and GRU. IEEE Access 13: 149834-149852 (2025) - [j57]Furong Chang, Songxian Wu, Yue Zhao, Kenji Yoshigoe, Farhan Ullah, Xueshu Dong:
NRF: A Network Reconstruction Framework for Community Detection in Bipartite Networks. IEEE Access 13: 181507-181518 (2025) - [j56]Farhan Ullah, Leonardo Mostarda, Diletta Cacciagrano, Chien-Ming Chen, Saru Kumari:
Semantic-Based Federated Defense for Distributed Malicious Attacks. IEEE Consumer Electron. Mag. 14(2): 49-58 (2025) - [j55]Farhan Ullah, Leonardo Mostarda, Diletta Cacciagrano, Chien-Ming Chen, Mohammed Amoon, Saru Kumari:
Metaheuristic-Driven Secure Task Optimization for Consumer Edge Devices. IEEE Consumer Electron. Mag. 14(4): 57-65 (2025) - [j54]Mehwish Naseer, Farhan Ullah, Jawad Ahmad, Rutvij H. Jhaveri, Thippa Reddy Gadekallu:
Adaptive IoT Defense With Deep Q-Learning Model for DNS Spoofing Prevention in Self-Organizing Networks. IEEE Commun. Stand. Mag. 9(3): 64-69 (2025) - [j53]Shamsher Ullah, Jianqiang Li, Jie Chen, Ikram Ali, Salabat Khan, Abdul Ahad, Farhan Ullah, Victor C. M. Leung:
A Survey on Emerging Trends and Applications of 5G and 6G to Healthcare Environments. ACM Comput. Surv. 57(4): 85:1-85:36 (2025) - [j52]Hamad Naeem, Farhan Ullah, Gautam Srivastava:
Classification of intrusion cyber-attacks in smart power grids using deep ensemble learning with metaheuristic-based optimization. Expert Syst. J. Knowl. Eng. 42(1) (2025) - [j51]Yue Zhao, Farhan Ullah, Chien-Ming Chen, Mohammed Amoon, Saru Kumari:
Efficient malware detection using hybrid approach of transfer learning and generative adversarial examples with image representation. Expert Syst. J. Knowl. Eng. 42(2) (2025) - [j50]Asad Ur Rehman, Xiaochuan Shi, Farhan Ullah, Zepeng Wang, Chao Ma:
Measuring student attention based on EEG brain signals using deep reinforcement learning. Expert Syst. Appl. 269: 126426 (2025) - [j49]Waqas Ahmed, Waseem Iqbal, Ammar Hassan, Awais Ahmad, Farhan Ullah, Gautam Srivastava:
Elevating e-health excellence with IOTA distributed ledger technology: Sustaining data integrity in next-gen fog-driven systems. Future Gener. Comput. Syst. 168: 107755 (2025) - [j48]Hamad Naeem, Farhan Ullah, Ondrej Krejcar, Deguang Li, Danish Vasan:
Optimizing vehicle security: A multiclassification framework using deep transfer learning and metaheuristic-based genetic algorithm optimization. Int. J. Crit. Infrastructure Prot. 49: 100745 (2025) - [j47]Farhan Ullah, Nazeeruddin Mohammad, Leonardo Mostarda, Diletta Cacciagrano, Shamsher Ullah, Yue Zhao:
THE-TAFL: Transforming Healthcare Edge with Transformer-based Adaptive Federated Learning and Learning Rate Optimization. Internet Things 32: 101605 (2025) - [j46]Shamsher Ullah, Jianqiang Li, Jie Chen, Ikram Ali, Salabat Khan, Muhammad Tanveer Hussain, Farhan Ullah, Victor C. M. Leung:
Homomorphic Encryption Applications for IoT and Light-Weighted Environments: A Review. IEEE Internet Things J. 12(2): 1222-1246 (2025) - [j45]Yue Zhao, Farhan Ullah, Khalid Mahmood, Jawad Ahmad, Ali Kashif Bashir, Nazik Alturki:
TFedSec-HI: Transformer-Driven Federated Security for IoT-Enabled Healthcare Industry 5.0 on Non-IID Data. IEEE Internet Things J. 12(22): 46204-46214 (2025) - [j44]Farhan Ullah, Gautam Srivastava, Shamsher Ullah, Leonardo Mostarda, Jawad Ahmad:
EIDS-DTL: Edge-Based Intrusion Detection System for IoUAVs Using Metaheuristic Task Optimization and Deep Transfer Learning. IEEE Internet Things J. 12(23): 50594-50603 (2025) - [j43]Jawad Ahmad, Shahid Latif, Djamel Djenouri, Farhan Ullah, Muhammad Shahbaz Khan, Malik Muhammad Saad, Rutvij H. Jhaveri, Priyanka Verma:
A Stochastic Prototypical Network for Few-Shot Intrusion Detection in CAN-Based IoV Network. IEEE Open J. Commun. Soc. 6: 6421-6436 (2025) - [j42]Farhan Ullah, Leonardo Mostarda, Diletta Cacciagrano, Mohammed J. F. Alenazi, Chien-Ming Chen, Saru Kumari:
Federated Edge Intelligence for Enhanced Security in Consumer Intermittent Healthcare Devices Using Adversarial Examples. IEEE Trans. Consumer Electron. 71(2): 4574-4585 (2025) - [j41]Farhan Ullah, Nazeeruddin Mohammad, Leonardo Mostarda, Diletta Cacciagrano, Yue Zhao:
Q-P2FL: Quantum-Enhanced Federated Edge Intelligence for Privacy-Preserving Adversarial Attack Detection on Consumer Edge Devices. IEEE Trans. Consumer Electron. 71(2): 4914-4924 (2025) - [j40]Hongping Gan, Hejie Zheng, Josué-Antonio Nescolarde-Selva, Yunong Chen, Zhangfa Wu, Farhan Ullah:
TCAD-Net: Integrating Transformer and Convolution for Weakly Supervised Anomaly Data Discovery. IEEE Trans. Consumer Electron. 71(2): 5475-5488 (2025) - [c5]Muhammad Pervez Akhter, Farhan Ullah, Leonardo Mostarda, Diletta Cacciagrano:
A Deep Learning-Based RIDNet Approach for Enhanced Denoising of SAR Images. AINA (7) 2025: 268-279 - 2024
- [j39]Muhammad Yousaf, Muhammad Farhan, Yousaf Saeed, Muhammad Jamshaid Iqbal, Farhan Ullah, Gautam Srivastava:
Enhancing driver attention and road safety through EEG-informed deep reinforcement learning and soft computing. Appl. Soft Comput. 167: 112320 (2024) - [j38]Farhan Ullah, Shamsher Ullah, Gautam Srivastava, Jerry Chun-Wei Lin:
IDS-INT: Intrusion detection system using transformer-based transfer learning for imbalanced network traffic. Digit. Commun. Networks 10(1): 190-204 (2024) - [j37]Ali Turab, Wutiphol Sintunavarat, Farhan Ullah, Shujaat Ali Zaidi, Andrés Montoyo, Josué-Antonio Nescolarde-Selva:
Computational modeling of animal behavior in T-mazes: Insights from machine learning. Ecol. Informatics 81: 102639 (2024) - [j36]Muhammad Jamshaid Iqbal, Muhammad Farhan, Farhan Ullah, Gautam Srivastava, Sohail Jabbar:
Intelligent multimedia content delivery in 5G/6G networks: A reinforcement learning approach. Trans. Emerg. Telecommun. Technol. 35(4) (2024) - [j35]Shamsher Ullah, Jian-Qiang Li, Farhan Ullah, Jie Chen, Ikram Ali, Salabat Khan, Abdul Ahad, Victor C. M. Leung:
The revolution and vision of explainable AI for Android malware detection and protection. Internet Things 27: 101320 (2024) - [j34]Sheharyar Khan, Jiangbin Zheng, Muhammad Irfan, Farhan Ullah, Sohrab Khan:
An expert system for hybrid edge to cloud computational offloading in heterogeneous MEC-MCC environments. J. Netw. Comput. Appl. 225: 103867 (2024) - [j33]Rahat Ullah, Muhammad Yahya, Leonardo Mostarda, Abdullah Alshammari, Ahmed I. Alutaibi, Nadeem Sarwar, Farhan Ullah, Sibghat Ullah:
Intelligent decision making for energy efficient fog nodes selection and smart switching in the IOT: a machine learning approach. PeerJ Comput. Sci. 10: e1833 (2024) - [j32]Sheharyar Khan, Jiangbin Zheng, Farhan Ullah, Muhammad Pervez Akhter, Sohrab Khan, Fuad A. Awwad, Emad A. A. Ismail:
Hybrid computing framework security in dynamic offloading for IoT-enabled smart home system. PeerJ Comput. Sci. 10: e2211 (2024) - [j31]Farhan Ullah, Ali Turab, Shamsher Ullah, Diletta Cacciagrano, Yue Zhao:
Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory. Sensors 24(13): 4152 (2024) - [j30]Farhan Ullah, Gautam Srivastava, Shamsher Ullah, Kenji Yoshigoe, Yue Zhao:
NIDS-VSB: Network Intrusion Detection System for VANET Using Spark-Based Big Data Optimization and Transfer Learning. IEEE Trans. Consumer Electron. 70(1): 1798-1809 (2024) - [j29]Farhan Ullah, Gautam Srivastava, Shamsher Ullah, Leonardo Mostarda:
Privacy-Preserving Federated Learning Approach for Distributed Malware Attacks With Intermittent Clients and Image Representation. IEEE Trans. Consumer Electron. 70(1): 4585-4596 (2024) - [j28]Farhan Ullah, Gautam Srivastava, Heng Xiao, Shamsher Ullah, Jerry Chun-Wei Lin, Yue Zhao:
A Scalable Federated Learning Approach for Collaborative Smart Healthcare Systems With Intermittent Clients Using Medical Imaging. IEEE J. Biomed. Health Informatics 28(6): 3293-3304 (2024) - [j27]Muhammad Jamil, Muhammad Farhan, Farhan Ullah, Gautam Srivastava:
A Lightweight Zero Trust Framework for Secure 5G VANET Vehicular Communication. IEEE Wirel. Commun. 31(6): 136-141 (2024) - [j26]Farhan Ullah, Shamsher Ullah, Gautam Srivastava, Jerry Chun-Wei Lin, Yue Zhao:
NMal-Droid: network-based android malware detection system using transfer learning and CNN-BiGRU ensemble. Wirel. Networks 30(6): 6177-6198 (2024) - [c4]Farhan Ullah, Leonardo Mostarda, Diletta Cacciagrano, Hamad Naeem, Shamsher Ullah, Pradeep Chaudhary, Yue Zhao:
P2FL: Privacy-Preserving Federated Learning Approach for Healthcare Informatics at the Edge. 3PGCIC 2024: 47-58 - [c3]Shamsher Ullah, Jianqiang Li, Farhan Ullah, Diletta Cacciagrano, Muhammad Tanveer Hussain, Victor C. M. Leung:
Homomorphic Cryptography Authentication Scheme to Eliminate Machine Tools Gaps in Industry 4.0. AINA (6) 2024: 76-85 - [c2]Farhan Ullah, Gautam Srivastava, Leonardo Mostarda, Diletta Cacciagrano:
Collaborative Intrusion Detection System for Intermittent 10 Vs Using Federated Learning and Deep Swarm Particle Optimization. DSAA 2024: 1-8 - 2023
- [j25]Shamsher Ullah, Jiangbin Zheng, Nizamud Din, Muhammad Tanveer Hussain, Farhan Ullah, Mahwish Yousaf:
Elliptic Curve Cryptography; Applications, challenges, recent advances, and future trends: A comprehensive survey. Comput. Sci. Rev. 47: 100530 (2023) - [j24]Hamad Naeem, Shi Dong, Olorunjube James Falana, Farhan Ullah:
Development of a deep stacked ensemble with process based volatile memory forensics for platform independent malware detection and classification. Expert Syst. Appl. 223: 119952 (2023) - [j23]Nizamud Din, Abdul Waheed, Shamsher Ullah, Noor Ul Amin, Gautam Srivastava, Farhan Ullah, Jerry Chun-Wei Lin:
A typology of secure multicast communication over 5 G/6 G networks. Int. J. Inf. Sec. 22(4): 1055-1073 (2023) - [j22]Farhan Ullah, Xiaochun Cheng, Leonardo Mostarda, Sohail Jabbar:
Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis. J. Database Manag. 34(2): 1-26 (2023) - [j21]Yang Yang, Haitao Shang, Nasir Jamal, Farhan Ullah:
Video Resources Recommendation for Online Tourism Teaching in Interactive Network. Mob. Networks Appl. 28(3): 971-982 (2023) - [j20]Jing Ge, Kangcheng Wu, Nasir Jamal, Farhan Ullah:
Dynamic Resource Allocation Techniques for Wireless Network Data in Elastic Optical Network Applications. Mob. Networks Appl. 28(5): 1712-1723 (2023) - [j19]Farhan Ullah, Shamsher Ullah, Gautam Srivastava, Jerry Chun-Wei Lin:
Droid-MCFG: Android malware detection system using manifest and control flow traces with multi-head temporal convolutional network. Phys. Commun. 57: 101975 (2023) - 2022
- [j18]Farhan Ullah, Hamad Naeem, Muhammad Rashid Naeem, Sohail Jabbar, Shehazad Khalid, Fadi Al-Turjman, Abdelrahman Abuarqoub:
Detection of clone scammers in Android markets using IoT-based edge computing. Trans. Emerg. Telecommun. Technol. 33(6) (2022) - [j17]Farhan Ullah, Muhammad Rashid Naeem, Hamad Naeem, Xiaochun Cheng, Mamoun Alazab:
CroLSSim: Cross-language software similarity detector using hybrid approach of LSA-based AST-MDrep features and CNN-LSTM model. Int. J. Intell. Syst. 37(9): 5768-5795 (2022) - [j16]Shamsher Ullah, Jiangbin Zheng, Muhammad Tanveer Hussain, Nizamud Din, Farhan Ullah, Muhammad Umar Farooq:
A perspective trend of hyperelliptic curve cryptosystem for lighted weighted environments. J. Inf. Secur. Appl. 70: 103346 (2022) - [j15]Farhan Ullah, Gautam Srivastava, Shamsher Ullah:
A malware detection system using a hybrid approach of multi-heads attention-based control flow traces and image visualization. J. Cloud Comput. 11: 75 (2022) - [j14]Hamad Naeem, Xiaochun Cheng, Farhan Ullah, Sohail Jabbar, Shi Dong:
A Deep Convolutional Neural Network Stacked Ensemble for Malware Threat Classification in Internet of Things. J. Circuits Syst. Comput. 31(17): 2250302:1-2250302:21 (2022) - [j13]Farhan Ullah, Shamsher Ullah, Muhammad Rashid Naeem, Leonardo Mostarda, Seungmin Rho, Xiaochun Cheng:
Cyber-Threat Detection System Using a Hybrid Approach of Transfer Learning and Multi-Model Image Representation. Sensors 22(15): 5883 (2022) - [j12]Farhan Ullah, Amjad Alsirhani, Mohammed Mujib Alshahrani, Abdullah Alomari, Hamad Naeem, Syed Aziz Shah:
Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation. Sensors 22(18): 6766 (2022) - [j11]Farhan Ullah, Jihoon Moon, Hamad Naeem, Sohail Jabbar:
Explainable artificial intelligence approach in combating real-time surveillance of COVID19 pandemic from CT scan and X-ray images using ensemble model. J. Supercomput. 78(17): 19246-19271 (2022) - [j10]Farhan Ullah, Muhammad Rashid Naeem, Abdullah S. Bajahzar, Fadi Al-Turjman:
IoT-based Cloud Service for Secured Android Markets using PDG-based Deep Learning Classification. ACM Trans. Internet Techn. 22(2): 40:1-40:17 (2022) - 2021
- [j9]Farhan Ullah, Sohail Jabbar, Leonardo Mostarda:
An intelligent decision support system for software plagiarism detection in academia. Int. J. Intell. Syst. 36(6): 2730-2752 (2021) - [j8]Farhan Ullah, Muhammad Rashid Naeem, Leonardo Mostarda, Syed Aziz Shah:
Clone detection in 5G-enabled social IoT system using graph semantics and deep learning model. Int. J. Mach. Learn. Cybern. 12(11): 3115-3127 (2021) - [j7]Nasir Jamal, Chen Xianqiao, Fadi M. Al-Turjman, Farhan Ullah:
A Deep Learning-based Approach for Emotions Classification in Big Corpus of Imbalanced Tweets. ACM Trans. Asian Low Resour. Lang. Inf. Process. 20(3): 42:1-42:16 (2021) - 2020
- [j6]Hamad Naeem, Farhan Ullah, Muhammad Rashid Naeem, Shehzad Khalid, Danish Vasan, Sohail Jabbar, Saqib Saeed:
Malware detection in industrial internet of things based on hybrid image visualization and deep learning model. Ad Hoc Networks 105: 102154 (2020) - [c1]Umair Khadam, Muhammad Munwar Iqbal, Leonardo Mostarda, Farhan Ullah:
An Efficient Framework for Text Document Security and Privacy. SocialSec 2020: 132-140
2010 – 2019
- 2019
- [j5]Farhan Ullah, Hamad Naeem, Sohail Jabbar, Shehzad Khalid, Muhammad Ahsan Latif, Fadi M. Al-Turjman, Leonardo Mostarda:
Cyber Security Threats Detection in Internet of Things Using Deep Learning Approach. IEEE Access 7: 124379-124389 (2019) - [j4]Farhan Ullah, Junfeng Wang, Sohail Jabbar, Fadi Al-Turjman, Mamoun Alazab:
Source Code Authorship Attribution Using Hybrid Approach of Program Dependence Graph and Deep Learning Model. IEEE Access 7: 141987-141999 (2019) - [j3]Muhammad Rashid Naeem, Tao Lin, Hamad Naeem, Farhan Ullah, Saqib Saeed:
Scalable Mutation Testing Using Predictive Analysis of Deep Learning Model. IEEE Access 7: 158264-158283 (2019) - [j2]Hamad Naeem, Bing Guo, Muhammad Rashid Naeem, Farhan Ullah, Hamza Aldabbas, Muhammad Sufyan Javed:
Identification of malicious code variants based on image visualization. Comput. Electr. Eng. 76: 225-237 (2019) - [j1]Hamad Naeem, Bing Guo, Farhan Ullah, Muhammad Rashid Naeem:
A Cross-Platform Malware Variant Classification based on Image Representation. KSII Trans. Internet Inf. Syst. 13(7): 3756-3777 (2019)
Coauthor Index
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