Analysis and modeling of cyber security precautions

Taking security measures against cyber-attacks has become a necessity for the whole world in today's conditions. The use and implementation of these requirements in the right direction and in the most effective way are taken as a basis by all institutions with a high degree of importance. In this study, while taking security precautions, it is based on the meaningful analysis of the attacks and the modeling of the analysis outputs, allowing more understandable and easier intervention. An understandable scenario was created by applying statistical calculation methods to the analysis outputs with modeling, and support was provided for an effective and significant intervention in cyber security. Studies have been carried out on data sets such as "Auckland Institute of Studies Website Phishing Data Set", "UNB - CCCS-CIC-AndMal-2020", "UNB - Network 2020", which cover a large sample of both on the network, software and different hardware attacks, and the analysis of the data has been carried out in Wire-shark and A study has been done to make sense of the snort-structured outputs with WEKA and SPSS. All these processes and findings show that by putting millions of log data in a more modeled and more meaningful scenario instead of being garbage, more concrete steps and paths can be followed in terms of cyber security, and in this sense, it helps to work. According to this scenario, a prediction about next attacks and future attacks is possible.