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Aug 31, 2019 · In this work, we look into how private information can be leaked from network traffic generated in the smart home network.
Oct 5, 2020 · In this work, we look into how private information can be leaked from network traffic generated in the smart home network. ... To this aim, we ...
Aug 31, 2019 · The goal is to identify the active IoT devices in a smart-home environment based on their network traffic.
Sep 11, 2024 · In this work, we propose a traffic analysis framework based on sequence-learning techniques like LSTM and leveraged the temporal relations ...
Oct 9, 2020 · (1) We present a traffic-analysis system, HomeMole, to automat- ically infer the IoT devices behind a smart home network even when traffic ...
HomeSentinel: Intelligent Anti-Fingerprinting for IoT Traffic in Smart Homes · Locality-Sensitive IoT Network Traffic Fingerprinting for Device Identification.
Missing: Neural | Show results with:Neural
Oct 9, 2020 · (1) We present a traffic-analysis system, HomeMole, to automat- ically infer the IoT devices behind a smart home network even when traffic ...
A implementation of Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks ...
Device fingerprinting could be the first step of more serious attacks, such as those that infer fine-grained sensitive information such as IoT user activity [21] ...
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Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks · no code implementations • 31 Aug 2019 • Shuaike ...