Software development for the removal of the web access logs

Internet and computer systems, should be first to take into consideration, because recording all the operations received and issued. This process is similar to the one performed by the black box of a plane. As the black box of the plane saves all activities of each section, a computing device records all the operations performed by a system. By the help of this System, many web based attacks were discovered and eased the clarification on the e-commerce sites, so using an application like the presented one, will lead to an increased performance of the web application and the Access of the customers will be restricted for the reasons mentioned above. Produced and stored in the files of the web servers, the sites contain many important data that can be followed and analyzed. The size of these files may vary depending on the density of the traffic of the server. The data may contain a list of the users who visited the web site, as well as patterns of their access on the web pages or the information introduced by them in the search engine. All these data can be complex, meaningless and the contents of the files can be large. So, a significant amount of data can be analysis with web usage mining. Applying the web usage mining phases to log files provides to web site managers meaningful and useful information. The overall objective of this thesis is to understand how we can clean the access logs from the servers. Excepting this, we can discover how we can Access important patterns of the information and how to analyze them. In this context, we should analyze important statistical information and intrusion detections.