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).