HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning-Reference-Cited by-同舟云学术

HoneyIoT: Adaptive High-Interaction Honeypot for IoT Devices Through Reinforcement Learning

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks
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Author:

Guan Chongqi¹^ORCID,Liu Heting¹^ORCID,Cao Guohong¹^ORCID,Zhu Sencun¹^ORCID,La Porta Thomas¹^ORCID

Affiliation:

1. The Pennsylvania State University, University Park, PA, USA

Funder

U.S. Army Combat Capabilities Development Command Army Research Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3558482.3590195

Reference43 articles.

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3. O. Alrawi , C. Lever , K. Valakuzhy , R. Court , K. Snow , F. Monrose , and M. Antonakakis . The Circle Of Life: A Large-Scale Study of The IoT Malware Lifecycle. USENIX Security Symp. , 2021 . O. Alrawi, C. Lever, K. Valakuzhy, R. Court, K. Snow, F. Monrose, and M. Antonakakis. The Circle Of Life: A Large-Scale Study of The IoT Malware Lifecycle. USENIX Security Symp., 2021.

4. Discovering IoT Physical Channel Vulnerabilities

5. M. Antonakakis , T. April , M. Bailey , M. Bernhard , E. Bursztein , J. Cochran , Z. Durumeric , J. A. Halderman , L. Invernizzi , M. Kallitsis , Understanding the Mirai Botnet. USENIX Security Symp. , 2017 . M. Antonakakis, T. April, M. Bailey, M. Bernhard, E. Bursztein, J. Cochran, Z. Durumeric, J. A. Halderman, L. Invernizzi, M. Kallitsis, et al. Understanding the Mirai Botnet. USENIX Security Symp., 2017.