数据概述 The UNSW-NB15 Dataset 研究单位:新南威尔士大学澳大利亚国防军学院 制作目的:网络入侵检测系统 (NIDS) 监控网络流量以识别攻击 制作方法:UNSW-NB 15 数据集是实验室使用 IXIA PerfectStorm 工具创建现代正常和异常网络流量的混合体。通过 IXIA 工具的异常流量模拟了表 VIII 中列出的 9 个攻击系列。IXIA 工...
参考资料1. 基于CNN-BiBASRU-AT的网络异常流量检测模型2. Implementation-Oriented Feature Selection in ...
UNSW-NB15 Dataset是由澳大利亚新南威尔士大学堪培拉分校网络范围实验室的IXIA PerfectStorm工具创建的原始网络数据包,用于生成现代正常活动和合成当代攻击行为的混合体。该数据集包含九种类型的攻击,包括Fuzzers、Analysis、Backdoors、DoS、Exploits、Generic、Reconnaissance、Shellcode和Worms。总共49个带有类标签的特征。
7. Network Intrusion Detection Using UNSW-NB15 Dataset: Stacking Machine ...8. 请问有没有较好的...
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About Dataset The raw network packets of the UNSW-NB 15 dataset was created by the IXIA PerfectStorm tool in the Cyber Range Lab of the Australian Centre for Cyber Security (ACCS) for generating a hybrid of real modern normal activities and synthetic contemporary attack behaviours. Tcpdump tool...
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About Dataset NF-UNSW-NB15-V2 is the extended NetFlow version ofNF-USNW-NB15. Compared to the original NF-NIDS datasets, the feature set of NetFlow features has expanded from 8 to 43. This is one dataset in theNFV2-collection by the university of Queenslandaimed at standardizing network-se...
SHAP multi_class split NF-UNSW-NB15v2 Updated2y ago0 comments·NF-UNSW-NB15-V2 arrow_drop_up1 more_horiz NF-UNSW-NB15-V2-00-Cleaning Updated2y ago0 comments·NF-UNSW-NB15-V2 Inter-dataset evaluation with supervised NN Updated2y ago0 comments·NF-UNSW-NB15-V2+3...