Ahsan Wajahat

According to our database, Ahsan Wajahat authored at least 12 papers between 2021 and 2026.

Collaborative distances:

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

2026

Dynamic Weighted Federated Learning: A Scalable and Privacy-Centric Approach to Android IoT Malware Detection.

Ahsan Wajahat, Kailong Zhang, Jahanzaib Latif, Xiangjun Ma, Abdul Ahad, Kazi Istiaque Ahmed

Concurr. Comput. Pract. Exp., January, 2026

Enhancing surveillance and early warning of infections and antimicrobial resistance using machine learning and deep learning: A systematic review.

Jahanzaib Latif, Shijin Zhang, Sadaqat ur Rehman, Ahsan Wajahat, Ahsan Nazir, Azhar Imran

Neurocomputing, 2026

2025

Empirical evaluation of ensemble learning and hybrid CNN-LSTM for IoT threat detection on heterogeneous datasets.

Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Fahim Ullah, Sirajuddin Qureshi, Muhammad Salman Pathan

J. Supercomput., April, 2025

Ehr management evolution through purpose-based access control and blockchain smart contracts.

Faheem Ullah, Jingsha He, Nafei Zhu, Ahsan Wajahat, Ahsan Nazir, Sirajuddin Qureshi, Hasan Shahzad

Int. J. Inf. Sec., February, 2025

2024

Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration.

Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Faheem Ullah, Sirajuddin Qureshi, Xiangjun Ma, Muhammad Salman Pathan

J. King Saud Univ. Comput. Inf. Sci., February, 2024

Systematic review of deep learning solutions for malware detection and forensic analysis in IoT.

Sirajuddin Qureshi, Jingsha He, Saima Tunio, Nafei Zhu, Ahsan Nazir, Ahsan Wajahat, Faheem Ullah, Abdul Wadud

J. King Saud Univ. Comput. Inf. Sci., 2024

An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources.

Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Musa Osman

Intell. Decis. Technol., 2024

Ensemble Learning Techniques for the Detection of IoT Botnets.

Ahsan Nazir, Jingsha He, Nafei Zhu, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Ahsan Wajahat

Proceedings of the 2024 3rd International Conference on Cyber Security, 2024

2023

Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets.

Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Muhammad Salman Pathan

J. King Saud Univ. Comput. Inf. Sci., December, 2023

An adaptive semi-supervised deep learning-based framework for the detection of Android malware.

Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Muhammad Salman Pathan, Sirajuddin Qureshi, Faheem Ullah

J. Intell. Fuzzy Syst., 2023

2021

Analysis of Challenges in Modern Network Forensic Framework.

Sirajuddin Qureshi, Jianqiang Li, Faheem Akhtar, Saima Tunio, Zahid Hussain Khand, Ahsan Wajahat

Secur. Commun. Networks, 2021

A Hybrid DL-Based Detection Mechanism for Cyber Threats in Secure Networks.

Sirajuddin Qureshi, Jingsha He, Saima Tunio, Nafei Zhu, Faheem Akhtar, Faheem Ullah, Ahsan Nazir, Ahsan Wajahat

IEEE Access, 2021