RIoTFuzzer: Companion App Assisted Remote Fuzzing for Detecting Vulnerabilities in IoT Devices

被引：0

作者：

Liu, Kaizheng ^{[1
]}

Yang, Ming ^{[1
]}

Ling, Zhen ^{[1
]}

Zhang, Yue ^{[2
]}

Lei, Chongqing ^{[1
]}

Luo, Junzhou ^{[1
]}

Fu, Xinwen ^{[3
]}

机构：

[1] Southeast University, Jiangsu, Nanjing, China

[2] Drexel University, Philadelphia,PA, United States

[3] UMass Lowell, Lowell,MA, United States

来源：

CCS 2024 - Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security |

基金：

中国国家自然科学基金;

关键词：

Black boxes - Cloud servers - Cloud-based - Fuzzing - [!text type='Java']Java[!/text] components - [!text type='Java']Java[!/text]script - LLM for security - Server sides - Side-channel - Vulnerability discovery;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：2341 / 2354

共 6 条

[1] Discovering Vulnerabilities in COTS IoT Devices through Blackbox Fuzzing Web Management Interface
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[5] WESTWORLD: Fuzzing-Assisted Remote Dynamic Symbolic Execution of Smart Apps on IoT Cloud Platformsy
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[6] Towards Automated Detection of Higher-Order Command Injection Vulnerabilities in IoT Devices: Fuzzing With Dynamic Data Flow Analysis
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