Sirajuddin Qureshi

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 10

Top Topics

Security Problems

Detection Mechanism

Gradient Boosting

Top Venues

J. Intell. Fuzzy Syst.

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

Intell. Decis. Technol.

Publications

Ahsan Nazir, Jingsha He, Nafei Zhu, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Ahsan Wajahat
Ensemble Learning Techniques for the Detection of IoT Botnets. CSAIDE (2024)
Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Musa Osman
An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources. Intell. Decis. Technol. 18 (1) (2024)
Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Faheem Ullah, Sirajuddin Qureshi, Xiangjun Ma, Muhammad Salman Pathan
Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration. J. King Saud Univ. Comput. Inf. Sci. 36 (2) (2024)
Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Muhammad Salman Pathan
Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets. J. King Saud Univ. Comput. Inf. Sci. 35 (10) (2023)
Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Muhammad Salman Pathan, Sirajuddin Qureshi, Faheem Ullah
An adaptive semi-supervised deep learning-based framework for the detection of Android malware. J. Intell. Fuzzy Syst. 45 (3) (2023)
Saima Siraj Qureshi, Jingsha He, Sirajuddin Qureshi, Nafei Zhu, Zulfiqar Ali Zardari, Tariq Mahmood, Ahsan Wajahat
SDN-enabled Deep Learning based Detection Mechanism (DDM) to tackle DDoS attacks in IoTs. J. Intell. Fuzzy Syst. 44 (6) (2023)
Tariq Mahmood, Jianqiang Li, Yan Pei, Faheem Akhtar, Suhail Ashfaq Butt, Allah Ditta, Sirajuddin Qureshi
An intelligent fault detection approach based on reinforcement learning system in wireless sensor network. J. Supercomput. 78 (3) (2022)
Musa Osman, Jingsha He, Fawaz Mahiuob Mohammed Mokbal, Nafei Zhu, Sirajuddin Qureshi
ML-LGBM: A Machine Learning Model Based on Light Gradient Boosting Machine for the Detection of Version Number Attacks in RPL-Based Networks. IEEE Access 9 (2021)
Sirajuddin Qureshi, Jingsha He, Saima Tunio, Nafei Zhu, Faheem Akhtar, Faheem Ullah, Ahsan Nazir, Ahsan Wajahat
A Hybrid DL-Based Detection Mechanism for Cyber Threats in Secure Networks. IEEE Access 9 (2021)
Sirajuddin Qureshi, Jianqiang Li, Faheem Akhtar, Saima Tunio, Zahid Hussain Khand, Ahsan Wajahat
Analysis of Challenges in Modern Network Forensic Framework. Secur. Commun. Networks 2021 (2021)