Jinxin Liu

Risk-Aware Fine-Grained Access Control in Cyber-Physical Contexts

M. Erol-Kantarci, Andrew Walenstein, B. Kantarci, 2021, Digital Threats: Research and Practice.

Collaborative Feature Maps of Networks and Hosts for AI-driven Intrusion Detection

B. Kantarci, P. Djukic, Murat Simsek, 2022, GLOBECOM 2022 - 2022 IEEE Global Communications Conference.

Adversarial Machine Learning: A Multilayer Review of the State-of-the-Art and Challenges for Wireless and Mobile Systems

B. Kantarci, M. Nogueira, Jinxin Liu, 2022, IEEE Communications Surveys & Tutorials.

Machine Learning-Enabled IoT Security: Open Issues and Challenges Under Advanced Persistent Threats

H. Mouftah, B. Kantarci, P. Djukic, 2022, ACM Comput. Surv..

Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset

Carlisle Adams, Jinxin Liu, Burak Kantarci, 2020, WiseML@WiSec.