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2020 – today
- 2024
[j4]Brooke Lampe
, Weizhi Meng:
can-train-and-test: A curated CAN dataset for automotive intrusion detection. Comput. Secur. 140: 103777 (2024)- [j3]Simon Lucas Jonker, Malthe Jelstrup, Weizhi Meng, Brooke Lampe:
Detecting Post Editing of Multimedia Images using Transfer Learning and Fine Tuning. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 154:1-154:22 (2024) - 2023
- [j2]Brooke Lampe, Weizhi Meng:
Intrusion Detection in the Automotive Domain: A Comprehensive Review. IEEE Commun. Surv. Tutorials 25(4): 2356-2426 (2023) - [j1]Brooke Lampe, Weizhi Meng:
A survey of deep learning-based intrusion detection in automotive applications. Expert Syst. Appl. 221: 119771 (2023) - [c11]Wei-Yang Chiu, Weizhi Meng, Brooke Lampe:
No Free Wireless Charge: Covert Channels via Wireless Charging on Mobile Devices. DSN-S 2023: 137-141 - [c10]Grzegorz Jacek Kot, Weizhi Meng, Brooke Lampe:
Securing Offshore Installations Against Automatic Identification System Spoofing. GLOBECOM 2023: 4473-4478 - [c9]Jiaxuan Wu, Wei-Yang Chiu, Weizhi Meng, Brooke Lampe:
BlockPAT: A Blockchain-Enabled Second-Hand Physical Asset Tokenization Management System. ICDCS 2023: 1041-1042 - [c8]Jiaxuan Wu, Shuoqiang Zeng, Wei-Yang Chiu, Peichen Liu, Weizhi Meng, Brooke Lampe:
Delay-masquerading Technique Upheld StrongBox: A Reinforced Side-Channel Protection. ICPADS 2023: 2135-2142 - [c7]Brooke Lampe, Weizhi Meng:
can-logic: Automotive Intrusion Detection via Temporal Logic. IoT 2023: 113-120 - [c6]Katherine Cardoso Petulante Fernandes, Simon Lucas Jonker, Weizhi Meng, Brooke Lampe:
ScrapeIOC: Designing a Web-scraping Tool for Malware Detection based on Indicators of Compromise. MetaCom 2023: 124-128 - [c5]Mads Solberg Collingwood Pyke, Weizhi Meng, Brooke Lampe:
Security on Top of Security: Detecting Malicious Firewall Policy Changes via K-Means Clustering. ML4CS 2023: 145-162 - [c4]Gergely Tuskó, Weizhi Meng, Brooke Lampe:
Look Closer to Touch Behavior-enabled Android Pattern Locks: A Study in the Wild. TrustCom 2023: 1196-1205 - [c3]Brooke Lampe, Weizhi Meng:
can-train-and-test: A New CAN Intrusion Detection Dataset. VTC Fall 2023: 1-7 - [i2]Alexandru Rusescu, Brooke Lampe, Weizhi Meng:
Protecting User Privacy in Online Settings via Supervised Learning. CoRR abs/2304.02870 (2023) - [i1]Brooke Lampe, Weizhi Meng:
can-train-and-test: A Curated CAN Dataset for Automotive Intrusion Detection. CoRR abs/2308.04972 (2023) - 2022
- [c2]Brooke Lampe, Weizhi Meng:
IDS for CAN: A Practical Intrusion Detection System for CAN Bus Security. GLOBECOM 2022: 1782-1787 - [c1]Xingguo Sun, Weizhi Meng, Wei-Yang Chiu, Brooke Lampe:
TDL-IDS: Towards A Transfer Deep Learning based Intrusion Detection System. GLOBECOM 2022: 2603-2608
Coauthor Index
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