CSE-CIC-IDS2017/2018 on AWS数据集是通信安全机构(CSE)与加拿大网络安全研究所(CIC)之间的协作项目,它以基于创建用户概要文件来生成用于入侵检测的多样且全面的基准数据集,该概要文件包含网络上看到的事件和行为的抽象表示,而配置文件将被组合以生成一组不同的数据集,每个数据集都具有一组独特的功能,这些功能能够覆...
INTRUSION detection systems (Computer security)This article examines intrusion detection systems in depth using the CSE-CIC-IDS-2018 dataset. The investigation is divided into three stages: to begin, data cleaning, exploratory data analysis, and data normalization procedures (min...
NF-CSE-CIC-IDS2018-v2_cv-全量 8 NF-CSE-CIC-IDS2018-v2_cv 全量预处理生成。由源文件(https://rdm.uq.edu.au/files/ce5161d0-ef9c-11ed-827d-e762de186848)预处理生成。数据包括:n_features, e_features, edge_index,edge_label, tvt, label2idx,edge_ids,node_label...
攻击基础设施包括50台机器,受害者组织有5个部门,包括420台机器和30台服务器。数据集包括每个机器的捕获网络流量和系统日志,以及使用CICFlowMeter-V3从捕获的流量中提取的80个特征。 1. 介绍 在CSE-CIC-IDS2018 dataset中,我们使用profile的概念以系统的方式生成数据集,其中将包含应用程序、协议或较低层网络实体的入侵...
带有CSE-CIC-IDS-2018的指令检测系统 这是针对CIC-IDS-2018的具有随机森林算法的机器学习分析。 它仅使用“ Thursday-15-02-2018_TrafficForML_CICFlowMeter.csv”文件来分析DDoS攻击。 我将模型应用于通过Django和Django-Channels来利用sFlow的软件定义网络中的DDoS攻击。 在这里了解更多: : 信用:...
CSE-CIC-IDS2018 加拿大入侵检测数据集 Friday数据 安全技术 - 网络安全 CSE-CIC-IDS2018 加拿大入侵检测数据集 Friday数据 安全技术 - 网络安全 Do**se上传152.96MB文件格式7z CSE-CIC-IDS2018 加拿大入侵检测数据集 Friday数据 (0)踩踩(0) 所需:1积分...
Optimized Deep Learning with Binary PSO for Intrusion Detection on CSE-CIC-IDS2018 DatasetFarhan, Rawaa IsmaelMaolood, Abeer TariqHassan, Nidaa FlaihJournal of Qadisiyah Computer Science & Mathematics
The CSE-CIC-IDS2018 data set is a relatively new Network Intrusion Detection Systems (NIDS) public resource, and its visualization analysis has not been done extensively. With a clear visualization of the dataset, network administrators as well as the researchers have a tool that can be utilized...
We use these models to handle binary and multiclass classification on the updated cybersecurity CSE-CIC-IDS2018 dataset. The recommended approach offers superior intrusion detection performance regarding Recall, accuracy, and precision. The recommended procedure yielded accu...
CSE-CIC-IDS2018 contains about 16,000,000 instances collected over the course of ten days. It is the most recent intrusion detection dataset that is big data, publicly available, and covers a wide range of attack types. This multi-class dataset has a class imbalance, with roughly 17% of ...