More
Main page
Faculty Member Homepage
SZABIST
Home
Research Projects
Area's of Research
Publications
International Conferences
Safi Ullah, Wadii Boulila, Anis Koubaa, Zahid Khan, Jawad Ahmad, ABDNN-IDS: Attention Based Deep Neural Networks for Intrusion Detection in Industrial IoT, IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 2023.
Safi Ullah, Wadii Boulila, Anis Koubaa, Jawad Ahmad, Attention-Based Hybrid Deep Learning Model for IIoT Networks Intrusion Detection, The 39th International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2024), 2024
International Journals
Safi Ullah, Jawad Ahmad, Muazzam A Khan, Mohammed S. Alshehri, Wadii Boulila, Anis Koubaa, Sana Ullah Jan, M Munawwar Iqbal Ch, TNN-IDS: Transformer Neural Networkbased Intrusion Detection System for MQTT-enabled IoT Networks, Computer Networks, 2023 (Impact Factor: 4.4).
Safi Ullah, Wadii Boulila, Anis Koubaa, Jawad Ahmad, MAGRU-IDS: A Multi-Head Attentionbased Gated Recurrent Unit for Intrusion Detection in IIoT Networks, IEEE Access, 2023 (Impact Factor: 3.4).
Mimonah Al Qathrady, Safi Ullah, Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Samar M. Alqhtani, Muazzam A Khan, Baraq Ghaleb, SACNN-IDS: A Self-Attention Convolutional Neural Network for Intrusion Detection in the Industrial IoT, CAAI Transactions on Intelligence Technology, 2024 (Impact Factor: 8.4).
Safi Ullah, Muazzam A Khan, Jawad Ahmad, Sajjad Shaukat Jamal, Zil E Huma, Muhammad Tahir Hassan, Nikolaos Pitropakis, Arshad Arshad, William J. Buchanan, HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles, Sensors, 2022 (Impact Factor: 3.4).
Noor Wali Khan, Muazzam A Khan, Safi Ullah, Naila Naz, Naghmeh Moradpoor, Jawad Ahmad, A hybrid deep learning-based intrusion detection system for IoT networks, Mathematical Biosciences and Engineering, 2023 (Impact Factor: 2.6).
Muhammad Hassan Jamal, Muazzam A Khan, Safi Ullah, Mohammed S. Alshehri, Umer Rasheed, Abulwahab Alazeb, and Jawad Ahmad, Multi-Step Attack Detection in Industrial Networks using a Hybrid Deep Learning Architecture, Mathematical Biosciences and Engineering, 2023 (Impact Factor: 2.6).
Safi Ullah, Jawad Ahmad, Muazzam A Khan, Eman H. Alkhammash, Myriam Hadjouni, Yazeed Yasin Ghadi, Faisal Saeed, Khyber Khan and Nikolaos Pitropakis, A New Intrusion 2 Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering, Sensors, 2022 (Impact Factor: 3.4).
ABOUT ME
Introduction
Personal Information
My Publications
Job Experience
IMPORTANT LINKS
SZABIST Islamabad