Machine Learning for Security at the IoT Edge - A Feasibility Study. - Han Wang 031; Luis Barriga; Arash Vahidi; Shahid Raza (MASS Workshops, 2019)

Non-IID data re-balancing at IoT edge with peer-to-peer federated learning for anomaly detection. - Han Wang 031; Luis Muñoz-González; David Eklund; Shahid Raza (WISEC, 2021)

Towards Cyber Threat Intelligence for the IoT. - Alfonso Iacovazzi; Han Wang 031; Ismail Butun; Shahid Raza (DCOSS-IoT, 2023)

On the Resilience of Machine Learning-Based IDS for Automotive Networks. - Ivo Zenden; Han Wang 031; Alfonso Iacovazzi; Arash Vahidi; Rolf Blom; Shahid Raza (VNC, 2023)

SparSFA: Towards robust and communication-efficient peer-to-peer federated learning. - Han Wang 031; Luis Muñoz-González; Muhammad Zaid Hameed; David Eklund; Shahid Raza (Comput. Secur., 2023)

FL4IoT: IoT Device Fingerprinting and Identification Using Federated Learning. - Han Wang 031; David Eklund; Alina Oprea; Shahid Raza (ACM Trans. Internet Things, 2023)

Enabling Cyber Threat Intelligence Sharing for Resource Constrained IoT. - August Karlsson; Rikard Höglund; Han Wang 031; Alfonso Iacovazzi; Shahid Raza (CSR, 2024)

BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection. - David Eklund; Alfonso Iacovazzi; Han Wang 031; Apostolos Pyrgelis; Shahid Raza (ESORICS (2), 2024)