klm-PPSA Dataset V 1.0

This dataset is used to illustrate an application of the "klm-based profiling and preventing security attack (klm-PPSA)" system. The klm-PPSA system is developed to profile, detect, and then prevent known and/or unknown security attacks before a user access a cloud. This dataset was created based on “a.patrik” user logical attempts scenarios when accessing his cloud resources and/or services. You will find attached the CSV file associated with the resulted dataset. The dataset contains 460 records of 13 attributes (independent and dependent variables). The entries of the dataset contain different features of this user when trying to establish authentications/connections to the system. For the description of the klm-PPSA system and more details on the dataset, please see the following paper: N. Eddermoug, A. Mansour, M. Sadik, E. Sabir, and M. Azmi, “Klm-based profiling and preventing security attacks for cloud computing: A comparative study,” in 2021 28th International Conference on Telecommunications (ICT), June 2021, pp. 1–6.

本数据集旨在阐释“基于klm的安全攻击分析与预防系统（klm-PPSA）”的应用。该klm-PPSA系统旨在对已知及/或未知的安全攻击进行画像、检测，并预防用户访问云端之前的安全威胁。本数据集基于用户“a.patrik”在访问其云端资源及/或服务时的逻辑尝试场景构建。您将发现附带的CSV文件与生成的数据集相关联。该数据集包含460条记录，涵盖13个属性（自变量和因变量）。数据集的条目包含了用户在尝试建立系统认证/连接时的各种特征。关于klm-PPSA系统的描述以及数据集的更多详细信息，请参阅以下论文：N. Eddermoug, A. Mansour, M. Sadik, E. Sabir, 和 M. Azmi, “基于klm的云计算安全攻击分析与预防：一项比较研究，”发表于2021年第28届国际电信会议（ICT），2021年6月，第1-6页。