In this paper, we created a large integrated dataset of IoT traffic flows, coming from four different network scenarios, in order to have a benchmark for future ...
Abstract—Internet traffic detection and classification has been thoroughly studied in the last decade, but this is still a hot.
They constructed a comprehensive dataset of IoT traffic flows from four networks and used it to test a deep learning model's efficiency, which consists of ...
The research will provide advanced knowledge on how deep-learning techniques can be applied to IoT security, making significant contributions to other studies ...
By conducting an SLR, we analyzed the numerous techniques of IoT attack detection for smart homes proposed by various theoretical studies. We enhanced the ...
This paper delves into the cutting-edge intrusion detection methods for IoT security, anchored in Deep Learning.
People also search for
Mar 8, 2019 · Abstract. In this paper, we analyze the network attacks that can be launched against IoT gateways, identify the relevant metrics to detect.
Apr 3, 2024 · In this paper, we conducted a structured literature review (SLR) on Smart Home's IoT attack detection using machine learning and deep learning.
Moreover, we used this dataset to test the effectiveness of a deep learning network model, made of different hidden layers, and we compare its outcomes with the ...
Aug 1, 2021 · This paper presents a novel security framework and an attack detection mechanism using a Deep Learning model to fill in the gap, which will efficiently detect ...