Learning-Based Fuzzing of IoT Message Brokers

2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST)(2021)

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摘要
The number of devices in the Internet of Things (IoT) immensely grew in recent years. A frequent challenge in the assurance of the dependability of IoT systems is that components of the system appear as a black box. This paper presents a semi-automatic testing methodology for black-box systems that combines automata learning and fuzz testing. Our testing technique uses stateful fuzzing based on a ...
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关键词
active automata learning,model inference,stateful fuzzing,conformance testing,MQTT,IoT
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