研究EVPN协议的流量特征数据集

研究EVPN协议的流量特征数据集，数据集编号：2018YFB1800601-007，对应考核指标2.3：高性能路由器支持EVPN协议的科学数据。该数据集包括两个子数据集：（1）子数据集1：拆分子网的数据平面中各主机产生的流量数据。本数据集名称是在研究过程中生成的实验数据集，数据集由浙江大学提供，其主要用途是模拟数据平面发生的流量行为，评估网络控制器和路由器的功能，以此来验证高性能路由器支持EVPN功能。数据集的产生时间根据数据集中指定的时间和不同类型的流量进行生成。该数据集来自于ISCX中一个公开的、用于模拟网络行为以及验证网络功能数据集。研究过程中根据原始数据集所对应的网络拓扑结构，提取了来自不同子网的不同类型的数据集。数据集中包含各个以pcap格式存储的数据包，考虑了安全性和隐私保护，其中的数据包负载内容进行了处理。在研究过程中，该数据集可帮助模拟攻击和正常流量的网络流量行为，最终复现网络传输行为。该数据集使得网络控制器可以通过接口，收集并提取相应的流量特征信息，验证数据包是否按照控制器下发的规则进行转发。在实验过程中还可以对数据速率进行调整，从而模拟不同传输模式下的网络流量行为。（2）子数据集2：模拟不同类型流量的流量特征数据集。数据集由浙江大学提供，该数据集用于研究路由器是否支持EVPN协议，旨在提供实时的网络流量特征信息。数据集的生成过程模拟了网络传输场景，由网络控制以固定周期提取当前的网络流量特征并生成，主要包含网络传输行为的统计信息、源地址分布情况等内容。数据集以json格式存储，并写入日志文件，网络的应用程序可以通过EVPN接口访问并提取当前的网络传输模式。网络异常检测和分类识别模型可以使用该数据集进行训练和验证，从而提高网络安全性和性能。该数据集描述了攻击场景和良性环境下的各类网络流量特征，为评估不同网络控制器和网络功能和性能提供数据输入

This is a traffic feature dataset for EVPN protocol research, with dataset ID 2018YFB1800601-007, corresponding to assessment indicator 2.3: scientific data for high-performance routers supporting EVPN protocol.
This dataset includes two sub-datasets:
(1) Sub-dataset 1: Traffic data generated by each host in the data plane of split subnets. This is an experimental dataset generated during the research process, provided by Zhejiang University. Its primary purpose is to simulate traffic behavior in the data plane, evaluate the functions of network controllers and routers, and thus verify the EVPN support capability of high-performance routers. The generation time of the dataset is determined based on the specified timestamps and different traffic types within the dataset. This dataset is derived from a public dataset in ISCX that is used for simulating network behaviors and validating network functions. During the research, datasets of different types from various subnets were extracted according to the network topology corresponding to the original dataset. The dataset contains multiple packets stored in pcap format, and the payload content of the packets has been processed to ensure security and privacy protection. During the research, this dataset can be used to simulate network traffic behaviors of both attacks and normal traffic, and finally reproduce network transmission behaviors. It enables network controllers to collect and extract corresponding traffic feature information through interfaces, and verify whether packets are forwarded according to the rules issued by the controller. Additionally, the data rate can be adjusted during experiments to simulate network traffic behaviors under different transmission modes.
(2) Sub-dataset 2: Traffic feature dataset simulating different types of traffic. Provided by Zhejiang University, this dataset is used to research whether routers support the EVPN protocol, aiming to provide real-time network traffic feature information. The dataset is generated by simulating network transmission scenarios, where network control systems extract current network traffic features at fixed intervals and generate the dataset. It mainly includes statistical information of network transmission behaviors, source address distribution, and other contents. The dataset is stored in JSON format and written into log files. Network applications can access and extract the current network transmission modes through the EVPN interface. Network anomaly detection and classification models can use this dataset for training and validation, thereby improving network security and performance. This dataset describes various network traffic features in attack scenarios and benign environments, providing data inputs for evaluating different network controllers, network functions and their performance.