- 著者
- Guosheng ZHAO Yang WANG Jian WANG
- 出版者
- The Institute of Electronics, Information and Communication Engineers
- 雑誌
- IEICE TRANSACTIONS on Communications (ISSN:09168516)
- 巻号頁・発行日
- vol.E106-B, no.8, pp.622-634, 2023-08-01
Internet of Things (IoT) devices are widely used in various fields. However, their limited computing resources make them extremely vulnerable and difficult to be effectively protected. Traditional intrusion detection systems (IDS) focus on high accuracy and low false alarm rate (FAR), making them often have too high spatiotemporal complexity to be deployed in IoT devices. In response to the above problems, this paper proposes an intrusion detection model of IoT based on the light gradient boosting machine (LightGBM). Firstly, the one-dimensional convolutional neural network (CNN) is used to extract features from network traffic to reduce the feature dimensions. Then, the LightGBM is used for classification to detect the type of network traffic belongs. The LightGBM is more lightweight on the basis of inheriting the advantages of the gradient boosting tree. The LightGBM has a faster decision tree construction process. Experiments on the TON-IoT and BoT-IoT datasets show that the proposed model has stronger performance and more lightweight than the comparison models. The proposed model can shorten the prediction time by 90.66% and is better than the comparison models in accuracy and other performance metrics. The proposed model has strong detection capability for denial of service (DoS) and distributed denial of service (DDoS) attacks. Experimental results on the testbed built with IoT devices such as Raspberry Pi show that the proposed model can perform effective and real-time intrusion detection on IoT devices.
- 著者
- Jian WANG Ting Wang Yong Yin Qunzhi Wang Hiroaki MATSUKAWA
- 出版者
- ISCM Forum
- 雑誌
- Innovation and Supply Chain Management (ISSN:21870969)
- 巻号頁・発行日
- vol.10, no.3, pp.81-92, 2016-09-30 (Released:2016-12-21)
- 参考文献数
- 72
The performance measurement scales on logistics and supply chain management can be used not only for benchmarking but also for the strategic formulation. The measurement scales in different scorecards were summarized in four areas, i.e., Logistics Performance (LP), Planning/Execution Capabilities (PE), IT Methods and Implementation (IT), and Corporate Strategy and Inter-Organizational Alignment (SO). Six hypotheses on the relationships among these four areas were proposed. A survey with 177 samples was conducted in Chinese manufacturing and logistics industries to test the hypotheses. A proposed framework suggests that planning/execution capabilities in the strategic formulation should be separated from logistics performance and the operations on the corporate strategy and inter-organization alignment on supply chain should move earlier than the IT methods and implementation.