Learning-Based Fuzzing of IoT Message Brokers
2021 14th IEEE Conference on Software Testing, Verification and Validation (ICST)(2021)
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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