Mohammed Rashed, Carlos García-Rubio, Celeste Campo · 2026 · arXiv
DOI: 10.48550/arXiv.2610.29774 · open-access PDF
Message Queue Telemetry Transport (MQTT)는 IoT 환경에서 가벼운 게시 구독 디자인과 리소스 제한 네트워크에 적합하기 때문에 널리 사용됩니다.현재의 MQTT 보안 연구는 주로 공격 탐지 및 분류 성능 최적화에 초점을 맞추지만, 이 작업은 흐름 수준에서 MQTT 트래픽의 크로스 데이터 세트, 도구 인식 특성을 제시함으로써 다른 관점을 취합니다.이 관점은 흐름 생성이 도구에 의존한다는 사실에 의해 동기를 부여됩니다.
Machine translation (Meta M2M100); the English original follows.
Message Queue Telemetry Transport (MQTT) is widely used in IoT environments due to its lightweight publish-subscribe design and suitability for resource-constrained networks. While current MQTT security studies mainly focus on detecting attacks and optimizing classification performance, this work takes a different perspective by presenting a cross-dataset, tool-aware characterization of MQTT traffic at the flow level. This perspective is motivated by the fact that flow-generation is tool-dependent: flows are not directly observed in packet captures, but are constructed through tool-specific de
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