mirzaakhi/UL-WSN-DDoS-Attack-H-IoT2023: Initial public release
收藏资源简介：
This dataset and preprocessing notebook support the poster paper presented at the 12th IEEE International Conference on Healthcare Informatics (IEEE ICHI 2024), held in Orlando, Florida, USA: "Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT" (IEEE ICHI 2024) The dataset captures Distributed Denial-of-Service (DDoS) attacks in a Wireless Sensor Network (WSN) deployed within a Healthcare-IoT (H-IoT) environment. It is generated using the Cooja IoT network simulator, with environmental sensors primarily monitoring room temperature and humidity. The final dataset includes engineered features used to train a CNN-based anomaly detection model. If you use this dataset or the preprocessing notebook in your research or applications, please cite the following paper. This dataset is shared under the [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) license. Plain Text: M. A. Khatun, M. Bhattacharya, C. Eising and L. L. Dhirani, "Time Series Anomaly Detection with CNN for Environmental Sensors in Healthcare-IoT,"* 2024 IEEE 12th International Conference on Healthcare Informatics (ICHI), Orlando, FL, USA, 2024, pp. 522–524, doi: [10.1109/ICHI61247.2024.00075](https://doi.org/10.1109/ICHI61247.2024.00075) 🔗 [View paper on IEEE Xplore](https://ieeexplore.ieee.org/abstract/document/10628718)
本数据集与配套预处理笔记本，为发表于美国佛罗里达州奥兰多市举办的第12届IEEE医疗信息学国际会议（IEEE International Conference on Healthcare Informatics, IEEE ICHI 2024）的海报论文提供支撑： 《面向医疗物联网（Healthcare-IoT, H-IoT）环境传感器的卷积神经网络（Convolutional Neural Network, CNN）时序异常检测方法》（IEEE ICHI 2024）。 该数据集记录了部署于医疗物联网环境下的无线传感器网络（Wireless Sensor Network, WSN）所遭遇的分布式拒绝服务（Distributed Denial-of-Service, DDoS）攻击。数据集基于Cooja IoT网络模拟器生成，其中环境传感器主要用于监测室内温度与湿度。最终数据集包含用于训练基于CNN的异常检测模型的工程化特征。 若您在研究或应用中使用本数据集或预处理笔记本，请引用下述论文。本数据集采用[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)许可协议共享。 标准引用格式： M. A. Khatun、M. Bhattacharya、C. Eising 与 L. L. Dhirani，《面向医疗物联网环境传感器的CNN时序异常检测方法》，载于2024年第12届IEEE医疗信息学国际会议（ICHI），美国佛罗里达州奥兰多市，2024年，第522–524页，DOI: [10.1109/ICHI61247.2024.00075](https://doi.org/10.1109/ICHI61247.2024.00075) 🔗 [在IEEE Xplore查看论文](https://ieeexplore.ieee.org/abstract/document/10628718)
