Habeeb D. Olufowobi

Journals

  1. Kolimago, Christopher, Michael Robson, Habeeb Olufowobi, and Ebelechukwu Nwafor. "Simulating Load Sharing for Resource Constrained Devices." IEEE Access (2024). [PDF]
  2. Anjum, Afia, Paul Agbaje, Sena Hounsinou, Nadra Guizani, and Habeeb Olufowobi. "D-NDNoT: Deterministic Named Data Networking for Time-Sensitive IoT Applications." IEEE Internet of Things Journal (2024). [PDF]
  3. Agbaje, Paul, Habeeb Olufowobi, Sena Hounsinou, and Gedare Bloom. "From Weeping to Wailing: A Transitive Stealthy Bus-Off Attack." IEEE Transactions on Intelligent Transportation Systems (2024). [PDF]
  4. Anjum, Afia, Paul Agbaje, Arkajyoti Mitra, Emmanuel Oseghale, Ebelechukwu Nwafor, and Habeeb Olufowobi. "Towards named data networking technology: Emerging applications, use cases, and challenges for secure data communication." Future Generation Computer Systems, (2024).
  5. Ikumapayi, Omolade, Habeeb Olufowobi, Jeremy Daily, Tingting Hu, Ivan Cibrario Bertolotti, and Gedare Bloom. "Canasta: Controller area network authentication schedulability timing analysis." IEEE Transactions on Vehicular Technology, (2023). [PDF]
  6. Agbaje, Paul, Afia Anjum, Arkajyoti Mitra, Emmanuel Oseghale, Gedare Bloom, and Habeeb Olufowobi. "Survey of Interoperability Challenges in the Internet of Vehicles." IEEE Transactions on Intelligent Transportation Systems, (2022). [PDF]
  7. Ezeobi, Uchenna, Olufowobi, Habeeb, Young, Clinton, Zambreno, Joseph, and Bloom, Gedare. "Reverse Engineering Controller Area Network Messages using Unsupervised Machine Learning." IEEE Consumer Electronics Magazine (2020). [PDF]
  8. Olufowobi, Habeeb, Young, Clinton, Zambreno, Joseph, and Bloom, Gedare. "SAIDuCANT: Specification-based Automotive Intrusion Detection using Controller Area Network (CAN) Timing." IEEE Transactions on Vehicular Technology (2019). [PDF]
  9. Young, Clinton, Olufowobi, Habeeb, Zambreno, Joseph, and Bloom, Gedare, "Survey of Automotive Controller Area Network Intrusion Detection Systems." IEEE Design & Test (2018). [PDF]

Conferences

  1. Nwafor, Ebelechukwu, Ujjwal Baskota, Md Salik Parwez, Jeremy Blackstone, and Habeeb Olufowobi. "Evaluating Large Language Models for Enhanced Intrusion Detection in Internet of Things Networks." To Appear in 2024 IEEE Global Communications Conference (GLOBECOM). [PDF]
  2. Ikumapayi, Omolade, Paul Agbaje, Yanyan Zhuang, Habeeb Olufowobi, and Gedare Bloom. "Deadline-Based Class Assignment for Time-Sensitive Network Frame Preemption." In 2024 IEEE International Conference on Industrial Technology (ICIT), IEEE, 2024. [PDF]
  3. Agbaje, Paul, Abraham Mookhoek, Afia Anjum, Arkajyoti Mitra, Mert D. Pesé, and Habeeb Olufowobi. "AutoWatch: Learning Driver Behavior with Graphs for Auto Theft Detection and Situational Awareness." In Symposium on Vehicles Security and Privacy (VehicleSec) 2024. [PDF]
  4. Agbaje, Paul, Afia Anjum, Arkajyoti Mitra, Sena Hounsinou, Ebelechukwu Nwafor, and Habeeb Olufowobi. "Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning." In Proceedings of the IEEE/ACM 10th International Conference on Big Data Computing, Applications and Technologies, 2023. [PDF]
  5. Nwafor, Ebelechukwu, Carter Schmidt, and Habeeb Olufowobi. "IoT-MGSec: Mitigating Man-in-the-Middle Attacks in IoT Networks Using Graph-Based Learning." In 2023 International Conference on Machine Learning and Applications (ICMLA), IEEE, 2023. [PDF]
  6. Agbaje, Paul, Ebelechukwu Nwafor, and Habeeb Olufowobi. "Deep Reinforcement Learning for Energy-Efficient Task Offloading in Cooperative Vehicular Edge Networks." In 2023 IEEE 21st International Conference on Industrial Informatics (INDIN), IEEE, 2023. [PDF]
  7. Agbaje, Paul, Afia Anjum, Zahidur Talukder, Mohammad Islam, Ebelechukwu Nwafor, and Habeeb Olufowobi. "FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing." In 2023 IEEE International Conference on Edge Computing and Communications (EDGE), IEEE, 2023. [PDF]
  8. Anjum, Afia, and Habeeb Olufowobi. "Towards Mitigating Blackhole Attack in NDN-Enabled IoT." In 2023 IEEE International Conference on Consumer Electronics (ICCE), IEEE, 2023. [PDF]
  9. Nwafor, Ebelechukwu, and Habeeb Olufowobi. "Canbert: A language-based intrusion detection model for in-vehicle networks." In 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), IEEE, 2022. [PDF]
  10. Anjum, Afia, Paul Agbaje, Sena Hounsinou, and Habeeb Olufowobi. "In-Vehicle Network Anomaly Detection Using Extreme Gradient Boosting Machine." In 2022 11th Mediterranean Conference on Embedded Computing (MECO), IEEE, 2022. [PDF]
  11. Hounsinou, Sena, Mark Stidd, Uchenna Ezeobi, Habeeb Olufowobi, Mitra Nasri, and Gedare Bloom. "Vulnerability of controller area network to schedule-based attacks." In 2021 IEEE Real-Time Systems Symposium (RTSS), IEEE, 2021. [PDF]
  12. Nwafor, Ebelechukwu, Michael Robson, and Habeeb Olufowobi. "Dynamic load sharing in memory constrained devices: a survey." In 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), IEEE, 2021.
  13. Nwafor, Ebelechukwu, and Habeeb Olufowobi. "Towards an interactive visualization framework for iot device data flow." In 2019 IEEE International Conference on Big Data (Big Data), IEEE, 2019.
  14. Parwez, Md Salik, and Habeeb Olufowobi. "Cost-constrained handoff in next generation heterogeneous wireless networks." In 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), IEEE, 2018.
  15. Olufowobi, Habeeb, Robert Engel, Nathalie Baracaldo, Luis Angel D. Bathen, Samir Tata, and Heiko Ludwig. "Data Provenance Model for Internet of Things (IoT) Systems." In International Conference on Service-Oriented Computing, Springer, Cham, 2016. [PDF]

Workshops, Short Papers, and Posters

  1. Ikumapayi, Omolade, Habeeb Olufowobi, Jeremy Daily, Tingting Hu, Ivan Cibrario Bertolotti, and Gedare Bloom. "Work in Progress: Schedulability Analysis of CAN and CAN FD Authentication." In 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS), pp. 349-352. IEEE, 2023.
  2. Anjum, Afia, Sena Hounsinou, and Habeeb Olufowobi. "Work-in-progress: deadline-aware named data networking for time-sensitive IoT applications." In 2023 IEEE 29th Real-Time and Embedded Technology and Applications Symposium (RTAS), pp. 353-356. IEEE, 2023.
  3. Agbaje, Paul, Afia Anjum, Arkajyoti Mitra, Gedare Bloom, and Habeeb Olufowobi. "A Framework for Consistent and Repeatable Controller Area Network IDS Evaluation." In Fourth International Workshop on Automotive and Autonomous Vehicle Security. 2022. (Best Paper) [PDF]
  4. Anjum, Afia, and Habeeb Olufowobi. "Poster: Mitigating Blackhole Attack in NDNoT." 43rd IEEE Symposium on Security and Privacy, 2022. [PDF]
  5. Banerjee, Vijay, Sena Hounsinou, Habeeb Olufowobi, Monowar Hasan, and Gedare Bloom. "Secure reboots for real-time cyber-physical systems." In Proceedings of the 4th Workshop on CPS & IoT Security and Privacy, 2022. [PDF]
  6. Olufowobi, Habeeb, Sena Hounsinou and Bloom, Gedare. "Controller Area Network Intrusion Prevention System Leveraging Fault Recovery." ACM Workshop on Cyber-Physical Systems Security & Privacy (CPS-SPC'19). [PDF]
  7. Olufowobi, Habeeb , Uchenna Ezeobi, Eric Muhati, Gaylon Robinson, Clinton Young, Joseph Zambreno, and Gedare Bloom. "Anomaly Detection Approach Using Adaptive Cumulative Sum Algorithm for Controller Area Network". Proceedings of the ACM Workshop on Automotive Cybersecurity. ACM, 2019. [PDF]
  8. Young, Clinton, Olufowobi, Habeeb , Zambreno, Joseph, and Bloom, Gedare, "Automotive Intrusion Detection Based on Constant CAN Message Frequencies Across Vehicle Driving Modes". Proceedings of the ACM Workshop on Automotive Cybersecurity. ACM, 2019. [PDF]
  9. Olufowobi, Habeeb, Gedare Bloom, Clinton Young, and Joseph Zambreno. "Work-in-Progress: Real-Time Modeling for Intrusion Detection in Automotive Controller Area Network." In 2018 IEEE Real-Time Systems Symposium (RTSS), pp. 161-164. IEEE, 2018. [PDF]

Book Chapters

  1. Olufowobi, Habeeb , and Gedare Bloom, Cars: Automotive Cybersecurity and Privacy for Smart Cities, In Smart Cities Cybersecurity and Privacy, Elsevier, 2019. [PDF]