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 detect, profile, and prevent (un)known security attacks before accessing the cloud services/resources. This dataset was generated based on one-user logical scenarios when attempting to access cloud services/resources. You will find attached the comma-separated values file of the dataset, which contains 460 instances and 13 attributes of the dependent and independent variables. The records in the dataset include features for each of the connections to the system on the 460 key connections/authentications made by a user called “a.patrik”.

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.