CGFuzzer: A Fuzzing Approach Based on Coverage-Guided Generative Adversarial Networks for Industrial IoT Protocols-Reference-Cited by-同舟云学术

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CGFuzzer: A Fuzzing Approach Based on Coverage-Guided Generative Adversarial Networks for Industrial IoT Protocols

Published:2022-11-01 Issue:21 Volume:9 Page:21607-21619
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Yu Zhenhua¹^ORCID,Wang Haolu¹,Wang Dan¹,Li Zhiwu²,Song Houbing³^ORCID

Affiliation:

1. College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, China

2. Institute of Systems Engineering, Macau University of Science and Technology, Macau, China

3. Security and Optimization for Networked Globe Laboratory, Embry-Riddle Aeronautical University, Daytona Beach, FL, USA

Funder

National Natural Science Foundation of China

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

https://ieeexplore.ieee.org/ielam/6488907/9926222/9797814-aam.pdf

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A survey on fuzz testing technologies for industrial control protocols;Journal of Network and Computer Applications;2024-12

2. A novel generative adversarial network-based fuzzing cases generation method for industrial control system protocols;Computers and Electrical Engineering;2024-07

3. StructuredFuzzer: Fuzzing Structured Text-Based Control Logic Applications;Electronics;2024-06-25

4. NCMFuzzer: Using non-critical field mutation and test case combination to improve the efficiency of ICS protocol fuzzing;Computers & Security;2024-06

5. Exploring the Frontiers of Firmware Fuzzing: μAFL’s Application on Cortex M4 and Unix Programs;2024 International Wireless Communications and Mobile Computing (IWCMC);2024-05-27

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