IDS for CAN: A Practical Intrusion Detection System for CAN Bus Security. - Brooke Lampe; Weizhi Meng 001 (GLOBECOM, 2022)

TDL-IDS: Towards A Transfer Deep Learning based Intrusion Detection System. - Xingguo Sun; Weizhi Meng 001; Wei-Yang Chiu; Brooke Lampe (GLOBECOM, 2022)

No Free Wireless Charge: Covert Channels via Wireless Charging on Mobile Devices. - Wei-Yang Chiu; Weizhi Meng 001; Brooke Lampe (DSN-S, 2023)

Securing Offshore Installations Against Automatic Identification System Spoofing. - Grzegorz Jacek Kot; Weizhi Meng 001; Brooke Lampe (GLOBECOM, 2023)

BlockPAT: A Blockchain-Enabled Second-Hand Physical Asset Tokenization Management System. - Jiaxuan Wu; Wei-Yang Chiu; Weizhi Meng 001; Brooke Lampe (ICDCS, 2023)

Delay-masquerading Technique Upheld StrongBox: A Reinforced Side-Channel Protection. - Jiaxuan Wu; Shuoqiang Zeng; Wei-Yang Chiu; Peichen Liu; Weizhi Meng 001; Brooke Lampe (ICPADS, 2023)

can-logic: Automotive Intrusion Detection via Temporal Logic. - Brooke Lampe; Weizhi Meng 001 (IoT, 2023)

ScrapeIOC: Designing a Web-scraping Tool for Malware Detection based on Indicators of Compromise. - Katherine Cardoso Petulante Fernandes; Simon Lucas Jonker; Weizhi Meng 001; Brooke Lampe (MetaCom, 2023)

Security on Top of Security: Detecting Malicious Firewall Policy Changes via K-Means Clustering. - Mads Solberg Collingwood Pyke; Weizhi Meng 001; Brooke Lampe (ML4CS, 2023)

Look Closer to Touch Behavior-enabled Android Pattern Locks: A Study in the Wild. - Gergely Tuskó; Weizhi Meng 001; Brooke Lampe (TrustCom, 2023)

can-train-and-test: A New CAN Intrusion Detection Dataset. - Brooke Lampe; Weizhi Meng 001 (VTC Fall, 2023)

Intrusion Detection in the Automotive Domain: A Comprehensive Review. - Brooke Lampe; Weizhi Meng 001 (IEEE Commun. Surv. Tutorials, 2023)

Protecting User Privacy in Online Settings via Supervised Learning. - Alexandru Rusescu; Brooke Lampe; Weizhi Meng 001 (CoRR, 2023)

A survey of deep learning-based intrusion detection in automotive applications. - Brooke Lampe; Weizhi Meng 001 (Expert Syst. Appl., 2023)

can-train-and-test: A curated CAN dataset for automotive intrusion detection. - Brooke Lampe; Weizhi Meng 001 (Comput. Secur., 2024)

Detecting Post Editing of Multimedia Images using Transfer Learning and Fine Tuning. - Simon Lucas Jonker; Malthe Jelstrup; Weizhi Meng 001; Brooke Lampe (ACM Trans. Multim. Comput. Commun. Appl., 2024)