Data Provenance Model for Internet of Things (IoT) Systems. - Habeeb Olufowobi; Robert Engel; Nathalie Baracaldo; Luis Angel D. Bathen; Samir Tata; Heiko Ludwig (ICSOC Workshops, 2016)

Work-in-Progress: Real-Time Modeling for Intrusion Detection in Automotive Controller Area Network. - Habeeb Olufowobi; Gedare Bloom; Clinton Young; Joseph Zambreno (RTSS, 2018)

Cost-constrained Handoff in Next Generation Heterogeneous Wireless Networks. - Md. Salik Parwez; Habeeb Olufowobi (UEMCON, 2018)

Towards an Interactive Visualization Framework for IoT Device Data Flow. - Ebelechukwu Nwafor; Habeeb Olufowobi (IEEE BigData, 2019)

Controller Area Network Intrusion Prevention System Leveraging Fault Recovery. - Habeeb Olufowobi; Sena Hounsinou; Gedare Bloom (CPS-SPC@CCS, 2019)

Anomaly Detection Approach Using Adaptive Cumulative Sum Algorithm for Controller Area Network. - Habeeb Olufowobi; Uchenna Ezeobi; Eric Muhati; Gaylon Robinson; Clinton Young; Joseph Zambreno; Gedare Bloom (AutoSec@CODASPY, 2019)

Automotive Intrusion Detection Based on Constant CAN Message Frequencies Across Vehicle Driving Modes. - Clinton Young; Habeeb Olufowobi; Gedare Bloom; Joseph Zambreno (AutoSec@CODASPY, 2019)

Survey of Automotive Controller Area Network Intrusion Detection Systems. - Clinton Young; Joseph Zambreno; Habeeb Olufowobi; Gedare Bloom (IEEE Des. Test, 2019)

SAIDuCANT: Specification-Based Automotive Intrusion Detection Using Controller Area Network (CAN) Timing. - Habeeb Olufowobi; Clinton Young; Joseph Zambreno; Gedare Bloom (IEEE Trans. Veh. Technol., 2020)

Vulnerability of Controller Area Network to Schedule-Based Attacks. - Sena Hounsinou; Mark Stidd; Uchenna Ezeobi; Habeeb Olufowobi; Mitra Nasri; Gedare Bloom (RTSS, 2021)

Dynamic Load Sharing in Memory Constrained Devices: A Survey. - Ebelechukwu Nwafor; Michael P. Robson; Habeeb Olufowobi (WF-IoT, 2021)

Secure Reboots for Real-Time Cyber-Physical Systems. - Vijay Banerjee; Sena Hounsinou; Habeeb Olufowobi; Monowar Hasan; Gedare Bloom (CPSIOTSEC@CCS, 2022)

CANBERT: A Language-based Intrusion Detection Model for In-vehicle Networks. - Ebelechukwu Nwafor; Habeeb Olufowobi (ICMLA, 2022)

In-Vehicle Network Anomaly Detection Using Extreme Gradient Boosting Machine. - Afia Anjum; Paul Agbaje; Sena Hounsinou; Habeeb Olufowobi (MECO, 2022)

Reverse Engineering Controller Area Network Messages Using Unsupervised Machine Learning. - Uchenna Ezeobi; Habeeb Olufowobi; Clinton Young; Joseph Zambreno; Gedare Bloom (IEEE Consumer Electron. Mag., 2022)

Survey of Interoperability Challenges in the Internet of Vehicles. - Paul Agbaje; Afia Anjum; Arkajyoti Mitra; Emmanuel Oseghale; Gedare Bloom; Habeeb Olufowobi (IEEE Trans. Intell. Transp. Syst., 2022)

Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning. - Paul Agbaje; Afia Anjum; Arkajyoti Mitra; Sena Hounsinou; Ebelechukwu Nwafor; Habeeb Olufowobi (BDCAT, 2023)

FedCime: An Efficient Federated Learning Approach For Clients in Mobile Edge Computing. - Paul Agbaje; Afia Anjum; Zahidur Talukder; Mohammad A. Islam 001; Ebelechukwu Nwafor; Habeeb Olufowobi (EDGE, 2023)

Towards Mitigating Blackhole Attack in NDN-Enabled IoT. - Afia Anjum; Habeeb Olufowobi (ICCE, 2023)

IoT-MGSec: Mitigating Man-in-the-Middle Attacks in IoT Networks Using Graph-Based Learning. - Ebelechukwu Nwafor; Carter Schmidt; Habeeb Olufowobi (ICMLA, 2023)

Deep Reinforcement Learning for Energy-Efficient Task Offloading in Cooperative Vehicular Edge Networks. - Paul Agbaje; Ebelechukwu Nwafor; Habeeb Olufowobi (INDIN, 2023)

Work-in-Progress: Deadline-Aware Named Data Networking for Time-Sensitive IoT Applications. - Afia Anjum; Sena Hounsinou; Habeeb Olufowobi (RTAS, 2023)

Work in Progress: Schedulability Analysis of CAN and CAN FD Authentication. - Omolade Ikumapayi; Habeeb Olufowobi; Jeremy Daily; Tingting Hu; Ivan Cibrario Bertolotti; Gedare Bloom (RTAS, 2023)

CANASTA: Controller Area Network Authentication Schedulability Timing Analysis. - Omolade Ikumapayi; Habeeb Olufowobi; Jeremy Daily; Tingting Hu; Ivan Cibrario Bertolotti; Gedare Bloom (IEEE Trans. Veh. Technol., 2023)

Evaluating Large Language Models for Enhanced Intrusion Detection in Internet of Things Networks. - Ebelechukwu Nwafor; Ujjwal Baskota; Md. Salik Parwez; Jeremy Blackstone; Habeeb Olufowobi (GLOBECOM, 2024)

Deadline-Based Class Assignment for Time-Sensitive Network Frame Preemption. - Omolade Ikumapayi; Paul Agbaje; Yanyan Zhuang; Habeeb Olufowobi; Gedare Bloom (ICIT, 2024)

MCFICS: Model-based Coverage-guided Fuzzing for Industrial Control System Protocol Implementations. - Uchenna Ezeobi; Sena Hounsinou; Habeeb Olufowobi; Yanyan Zhuang; Gedare Bloom (IECON, 2024)

Simulating Load Sharing for Resource Constrained Devices. - Christopher Kolimago; Michael P. Robson; Habeeb Olufowobi; Ebelechukwu Nwafor (IEEE Access, 2024)

Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles. - Pedram MohajerAnsari; Alkim Domeke; Jan de Voor; Arkajyoti Mitra; Grace Johnson; Amir Salarpour; Habeeb Olufowobi; Mohammad Hamad; Mert D. Pesé (CoRR, 2024)

Towards named data networking technology: Emerging applications, use cases, and challenges for secure data communication. - Afia Anjum; Paul Agbaje; Arkajyoti Mitra; Emmanuel Oseghale; Ebelechukwu Nwafor; Habeeb Olufowobi (Future Gener. Comput. Syst., 2024)

D-NDNoT: Deterministic Named Data Networking for Time-Sensitive IoT Applications. - Afia Anjum; Paul Agbaje; Sena Hounsinou; Nadra Guizani; Habeeb Olufowobi (IEEE Internet Things J., 2024)

From Weeping to Wailing: A Transitive Stealthy Bus-Off Attack. - Paul Agbaje; Habeeb Olufowobi; Sena Hounsinou; Gedare Bloom (IEEE Trans. Intell. Transp. Syst., 2024)

Spec-SCAN: Spectrum Learning in Shared Channel using Neural Networks. - Raju Hazari; Gaurav Singh; Devika Renjith; Divya Krishnan; Pavanitha B; Habeeb Olufowobi; Debashri Roy (CCNC, 2025)

MichiCAN: Spoofing and Denial-of-Service Protection using Integrated CAN Controllers. - Mert D. Pesé; Bulut Gözübüyük; Eric Andrechek; Habeeb Olufowobi; Mohammad Hamad; Kang G. Shin (DSN, 2025)

Beyond the Glow: Understanding Luminescent Marker Behavior Against Autonomous Vehicle Perception Systems. - Arkajyoti Mitra; Pedram MohajerAnsari; Afia Anjum; Paul Agbaje; Mert D. Pesé; Habeeb Olufowobi (VehicleSec, 2025)

On the Natural Robustness of Vision-Language Models Against Visual Perception Attacks in Autonomous Driving. - Pedram MohajerAnsari; Amir Salarpour; Michael Kühr; Siyu Huang; Mohammad Hamad; Sebastian Steinhorst; Habeeb Olufowobi; Mert D. Pesé (CoRR, 2025)

FedVLM: Scalable Personalized Vision-Language Models through Federated Learning. - Arkajyoti Mitra; Afia Anjum; Paul Agbaje; Mert D. Pesé; Habeeb Olufowobi (CoRR, 2025)