AktuellesKolloquiumsvortrag 03. Februar 2026, Rachana Kafle (Betreuer: Al Sardy)
MQRL-Fuzzer: A Deep Reinforcement Learning-Based Fuzzer for IoT Protocols Applied to MQTT The rising adoption of IoT systems in critical sectors such as smart homes, industrial automation, and healthcare has led to an increased reliance on lightweight communication protocols like MQTT. These protocols, while efficient, are often stateful and complex, posing significant challenges for traditional […]MQRL-Fuzzer: A Deep Reinforcement Learning-Based Fuzzer for IoT Protocols Applied to MQTT The rising adoption of IoT systems in critical sectors such as smart homes, industrial automation, and healthcare has led to an increased reliance on lightweight communication protocols like MQTT. These protocols, while efficient, are often stateful and complex, posing significant challenges for traditional […]
