Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing

Tran Ngoc Bao Huynh; Ting Xu; Yinxin Wan; Jun Dai; Xiaoyan Sun

doi:10.1145/3715014.3724024

Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing

Tran Ngoc Bao Huynh
, Ting Xu
, Yinxin Wan
, Jun Dai
, Xiaoyan Sun

Computer Science

Worcester Polytechnic Institute
University of Massachusetts Boston

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems
Publisher	Association for Computing Machinery, Inc
Pages	594-595
Number of pages	2
ISBN (Electronic)	9798400714795
DOIs	https://doi.org/10.1145/3715014.3724024
State	Published - May 6 2025
Event	23rd ACM Conference on Embedded Networked Sensor Systems, SenSys 2025 - Irvine, United States Duration: May 6 2025 → May 9 2025

Publication series

Name	ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems

Conference

Conference	23rd ACM Conference on Embedded Networked Sensor Systems, SenSys 2025
Country/Territory	United States
City	Irvine
Period	5/6/25 → 5/9/25

ASJC Scopus Subject Areas

Computer Networks and Communications
Hardware and Architecture
Control and Systems Engineering
Electrical and Electronic Engineering

Keywords

fuzzing
IoT
reinforcement learning
vulnerability detection

Access to Document

10.1145/3715014.3724024

Cite this

Huynh, T. N. B., Xu, T., Wan, Y., Dai, J., & Sun, X. (2025). Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing. In ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems (pp. 594-595). (ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems). Association for Computing Machinery, Inc. https://doi.org/10.1145/3715014.3724024

Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing. / Huynh, Tran Ngoc Bao; Xu, Ting; Wan, Yinxin et al.
ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems. Association for Computing Machinery, Inc, 2025. p. 594-595 (ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huynh, TNB, Xu, T, Wan, Y, Dai, J & Sun, X 2025, Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing. in ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems. ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems, Association for Computing Machinery, Inc, pp. 594-595, 23rd ACM Conference on Embedded Networked Sensor Systems, SenSys 2025, Irvine, United States, 5/6/25. https://doi.org/10.1145/3715014.3724024

Huynh TNB, Xu T, Wan Y, Dai J, Sun X. Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing. In ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems. Association for Computing Machinery, Inc. 2025. p. 594-595. (ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems). doi: 10.1145/3715014.3724024

Huynh, Tran Ngoc Bao ; Xu, Ting ; Wan, Yinxin et al. / Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing. ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems. Association for Computing Machinery, Inc, 2025. pp. 594-595 (ACM SenSys 2025 - 23rd ACM Conference on Embedded Networked Sensor Systems, In Transactions to Conference Embedded Artificial Intelligence and Sensing Systems).

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Optimizing IoT Cross-rule Vulnerability Detection through Reinforcement Learning-Based Fuzzing

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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