Abstract: A federated learning method includes a first network device that obtains local training data of at least two terminal devices; processes the local training data of the at least two terminal devices, to obtain training datasets; performs model training based on the training datasets, to obtain a model gradient; and sends the model gradient to a second network device. In this way, training data of the first network device is from the at least two terminal devices.

Abstract: Various embodiments of the teachings herein include a method for security monitoring on an OT system. The method may include: determining a time range for calculation on data of the OT system; collecting from the OT system 10, data in the determined time range on a first aspect for security monitoring; calculating, based on data collected, an indicator on the first aspect; and visualizing the indicator on the aspect in a quantitative way.

Abstract: The disclosure discloses a cyberbullying detection method and system. The detection method includes: obtaining a to-be-detected data set, where the to-be-detected data set includes multiple sentence texts of multiple users; classifying the to-be-detected data set by using a classification model based on a bidirectional recurrent neural network, to obtain a probability that each sentence text belongs to cyberbullying; obtaining a sentence text whose probability of belonging to cyberbullying is greater than a specified probability, to obtain a first sentence text set; obtaining an attention value of each sentence text in the first sentence text set and an attention value of each user; detecting, according to the attention value of each sentence text in the first sentence text set and the attention value of each user, whether each sentence text belongs to cyberbullying. The disclosure can achieve a good text classification and identification effect, high accuracy, and a low loss rate.

Abstract: An embodiment of the present invention relates to the technical field of networks, in particular to a testing method, device and system for testing the performance of a Deep Packet Inspection (DPI) device. In this method, a performance analyzing device respectively acquires packet transmission characteristics of packets when being directly forwarded and packet transmission characteristics of the packets having been processed by the DPI device; and a test result on the performance of the DPI device with larger reference significance is acquired by comparing the two packet transmission characteristics.

Abstract: An embodiment of the present invention relates to the technical field of networks, in particular to a testing method, device and system for testing the performance of a Deep Packet Inspection (DPI) device. In this method, a performance analyzing device respectively acquires packet transmission characteristics of packets when being directly forwarded and packet transmission characteristics of the packets having been processed by the DPI device; and a test result on the performance of the DPI device with larger reference significance is acquired by comparing the two packet transmission characteristics.