According to the evaluation results researchers may look through the weak point of current intrusion detection technologies and thus improve on them. In this paper we present a detail analysis of dataset evaluation methodology proposed by MIT Lincoln Lab and point out the key problems of dataset ...
Subject Intrusion Detection, Advanced Persistent Threat (APT) attack in Linux Systems. Specific subject area The dataset is suitable for developing system for detecting sophisticated attacks in Linux environment. Type of data 1.Comma Separated Value (CSV), 2. Configuration in XML. 3. Microsoft Excel...
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资源简介 这是Intrusion Detection Evaluation Dataset (CICIDS2017)数据集中星期五所测得数据,其余4天数据可以私聊我,可能会收点手工费,毕竟国外实验室的数据集难搞。 上一篇:C# 微信公众号,通用后台管理、 下一篇:Unity 3D脚本编程——使用C#语言开发跨平台游戏 挑错 打印 评论 共有 条评论 ...
Advanced Persistent Threat (APT) and intrusion detection evaluation dataset for linux systems 2024 来自 dx.doi.org 喜欢 0 阅读量: 16 作者:SS Karim,M Afzal,W Iqbal,DA Abri 摘要: The novel dataset called Linux-APT Dataset 2024 captures Advanced Persistent Threat (APT) attacks along with other ...
646 instances fall under the classification of anomalous. The CICIDS2017 dataset is derived from the Intrusion Detection Evaluation Dataset. It consists of 85 attributes and covers a data-collecting period of five days, starting on July 3, 2017, and ending on July 7, 2017. The range of ...
Intrusion Detection Evaluation Dataset (CICIDS2017) 这是Intrusion Detection Evaluation Dataset (CICIDS2017)数据集中星期五所测得数据,其余4天数据可以私聊我,可能会收点手工费,毕竟国外实验室的数据集难搞。 入侵检测2018-11-06 上传大小:71.00MB 所需:50积分/C币...
Experiments are performed on both real network data for Sudan University of Science and Technology (SUST) network and Defense Advanced Research Projects Agency (DARPA) dataset which is considered as the most famous available off-line intrusion detection evaluation dataset. The obtained results confirm ...
Evaluation of Network Intrusion Detection with Features Selection and Machine Learning Algorithms on CICIDS-2017 DatasetOneRREPTreeWEKACICIDS-2017 Data SetFeature Selection AlgorithmsIn the era of network Security, the Intrusion Detection System (IDS) plays an important role in information security. As ...
Generally the intrusions are detected by analyzing 41 attributes from the intrusion detection dataset. In this work we tried to reduce the number of attributes by using various ranking based feature selection techniques and evaluation has been done using ten classification algorithms that I ...