CIC-IDS-2017 入侵检测数据集,包含以下8个CSV文件:可以用于机器学习的训练 Friday-WorkingHours-Afternoon-DDos.pcap_ISCX.csv Friday-WorkingHours-Afternoon-PortScan.pcap_ISCX.csv Friday-WorkingHours-Morning.pcap_ISCX.csv Monday-WorkingHours.pcap_ISCX.csv ...
https://www.unb.ca/cic/datasets/ids-2017.html
This repository contains an in-depth analysis of the Intrusion Detection Evaluation Dataset (CIC-IDS2017) for Intrusion Detection, showcasing the implementation and comparison of different machine learning models for binary and multi-class classification
A comparative analysis of the performance of deep neural network, convolutional neural network, and long short-term memory using the CIC-IDS 2017 dataset.doi:10.11591/ijece.v13i1.pp1134-1141Jose, JinsiJose, Deepa V.International Journal of Electrical & Computer Engineering (2088-8708)...
预处理文件 交叉验证 随机采样40% 数据包含n_features, e_features, edge_index,edge_label, tvt, label2idx,edge_ids,node_label b boss_c 1枚 GPL 2 分类 3 33 2024-04-02 详情 相关项目 评论(0) 创建项目 文件列表 NF-CSE-CIC-IDS2018-v2_cv0_graph_binary.pkl NF-CSE-CIC-IDS2018-v2_cv1...
CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset
The proposed method has been applied to a CSE-CIC-IDS2018 dataset. It is the most recent dataset that is publicly available, an extensive dataset that includes a wide range of attack types. This data has been pre-processed and cleaned to find helpful information for classification by the ...
CIC-IDS-Incremental Testing Incremental Learning methods on the CIC IDS 2018 dataset The Jupyter notebook tests the effects of learning new classes incrementally for a CNN model using the CIC IDS 2018 dataset from https://www.kaggle.com/datasets/solarmainframe/ids-intrusion-csv. The CSV files ar...
CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset
The CSE-CIC IDS datasets published in 2017 and 2018 have both attracted considerable scholarly attention towards research in intrusion detection systems. Recent work published using this dataset indicates little attention paid to the imbalance of the dataset. The study presented in this paper sets out...