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Advanced Networking Technologies and Security Lab

The Advanced Networking Technology and Security (ANTS) research lab at our university is home to state-of-the-art research and development of technologies for next-generation networks and critical infrastructures. It includes a security testing facility funded by the Canada Foundation for Innovation, a private research cloud environment and a software-defined networking testbed.


Advanced Networking

Research topics

  • Security and Privacy issues in Smart City Infrastructures
  • Data dissemination in wireless sensor networks
  • Applications of Artificial Intelligence (AI) in Information Security and Network Management
  • Cloud and Fog computing networks
  • Software-defined networking
  • Network Quality of Service and Reliability
  • Biometric Authentication
  • Vehicular ad-hoc networks
  • Internet of Things
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ANTS Lab Works

  • Partners

    The ANTS Lab is a proud partner of the NSERC, MITACS, OCE as well as private industry partners.

    MitacsNSERC

  • Our Research Projects

    Ongoing research projects in the lab include:

    • Detection of insider threats
    • Dynamic channel allocation for cognitive radio
    • Intrusion-detection systems for supervisory control and data acquisition (SCADA) networks
    • Multimedia delivery and quality of experience in the cloud
    • Network survivability in large-scale failure scenarios
    • Privacy and reliability
    • Secure biometric-access technologies
    • Service aggregation in wireless infrastructure
    • Situational awareness systems for critical infrastructures
    • Smart-city infrastructures
    • Smart-grid security
    • Smart homes
    • Software-defined network (SDN) architectures
    • Vehicular network security and privacy
  • Recent Publications
    Journals and Technical Reports
    1. Sabeel, S. S. Heydari, K. El-Khatib and K. Elgazzar, “Unknown, Atypical, and Polymorphic Network Intrusion Attacks: A Survey”, IEEE Transactions on Network and System Management, 2023, Early Access Digital Object Identifier: 10.1109/TNSM.2023.3298533.
    2. Keith, A., Sangarapillai, T., Almehmadi, A. and El-Khatib, K., 2023. A Blockchain-Powered Traffic Management System for Unmanned Aerial Vehicles. Applied Sciences, 13(19), 10950.
    3. Ibrahim, Sara Al Hajj, and Khalil El-Khatib. "To segment or not to segment: COVID-19 detection for chest X-rays." Informatics in Medicine Unlocked 40 (2023): 101280.
    4. Miri, Farimasadat, Amir Javadpour, Forough Ja’fari, Arun Kumar Sangaiah, and Richard Pazzi. "Improving resources in internet of vehicles transportation systems using markov transition and TDMA protocol." IEEE Transactions on Intelligent Transportation Systems (2023).
    5. Assayag, Yuri, Horácio Oliveira, Eduardo Souto, Raimundo Barreto, and Richard Pazzi. "Adaptive Path Loss Model for BLE Indoor Positioning System." IEEE Internet of Things Journal (2023).
    6. Bertanha, Mauricio, Richard W. Pazzi, and Khalil El-Khatib. "ECKN: An Integrated Approach for Position Estimation, Packet Routing, and Sleep Scheduling in Wireless Sensor Networks." Sensors 23.13 (2023): 6133.
    7. S. A. Astaneh, S. Shah Heydari, S. Taghavi-Motlagh and A. Izaddoost, “Trade-offs between Risk and Operational Cost in SDN Failure Recovery Plan”, Future Internet, 2022, 14(9):263
    8. Whelan, J., Almehmadi, A., & El-Khatib, K. (2022). Artificial intelligence for intrusion detection systems in unmanned aerial vehicles. Computers and Electrical Engineering, 99, 107784.

    Confernce Papers:

    1. Fateme Mazloomi, Shahram Shah Heydari and Khalil El-Khatib, “Trust-based knowledge sharing among federated learning servers in vehicular edge computing”, 13th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications, Montreal, Canada, October 29 – November 2, 2023.
    2. Ali Hasan Karwani and Shahram Shah Heydari, “Enterprise Application Outage Prediction Using XGBoost and LSTM”, proceedings of the 3rd International Workshop on Analytics for Service and Application Management, pp 196-200, Niagara Falls, Canada, 30 October 2023.
    3. Ulya Sabeel, Shahram shah Heydari, Khalil El-Khatib and Khalid Elgazzar, “Analyzing the Quality of Synthetic Adversarial Cyberattacks”, proceedings of 19th International Conference on Network and Service Management (CNSM 2023), pp. 294-298, Niagara Falls, Canada, 30 October - 2 November 2023.
    4. L. Johnston and R. W. Pazzi, "Keeping Information Alive: Hovering Information and Floating Content Paradigms for Vehicular Networks,"  18th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2022, pp. 291-297
    5. Farimasadat Miri, Alireza Namanloo, Allan M. de Souza, Richard Pazzi “A Novel Short-term Vehicle Location Prediction using Temporal Graph Neural Networks”. 14th IEEE Latin-American Conference on Communications (LATINCOM), 2022, to appear.
  • Faculty Members

     

How you can reach us

Location: Software and Informatics Research Centre, Room 3160 
Contact: Khalil El-Khatib, Richard Pazzi, Shahram Heydari, Pooria Madani, Li Yang

 

Check out the ANTS Lab Website here!