The backdoor or information leak of Web servers can be detected by using Web Mining techniques on some abnormal Web log and Web application log data. The security of Web servers can be enhanced and the damage of illeg...The backdoor or information leak of Web servers can be detected by using Web Mining techniques on some abnormal Web log and Web application log data. The security of Web servers can be enhanced and the damage of illegal access can be avoided. Firstly, the system for discovering the patterns of information leakages in CGI scripts from Web log data was proposed. Secondly, those patterns for system administrators to modify their codes and enhance their Web site security were provided. The following aspects were described: one is to combine web application log with web log to extract more information,so web data mining could be used to mine web log for discovering the information that firewall and Information Detection System cannot find. Another approach is to propose an operation module of web site to enhance Web site security. In cluster server session, Density -Based Clustering technique is used to reduce resource cost and obtain better efficiency.展开更多
ADCS （automated data collection system） is the element of MDMS （meter data management system） and a module in charge of collecting the data from DCUs （data collection units） or meters in AMI （advanced metering ...ADCS （automated data collection system） is the element of MDMS （meter data management system） and a module in charge of collecting the data from DCUs （data collection units） or meters in AMI （advanced metering infrastructure）-based interactive two-way communications infrastructure. In this study, ADCS＇s functions for K-AMI （Korean Advanced Metering Infrastructure） were analyzed and the logical design of ADCS which is suitable for the requirements was suggested. A massive data collection and management functions was defined as very important functions of ADCS to meet optimal data processing mechanism. ADCS was designed for support about the fuctions of data collection and transfer, large capacity data processing, interactive services, parallel processing, etc.. Also, ADCS has roles of protocols exchange and gateway for service support in addition to data collection in AMI environment.展开更多
文摘The backdoor or information leak of Web servers can be detected by using Web Mining techniques on some abnormal Web log and Web application log data. The security of Web servers can be enhanced and the damage of illegal access can be avoided. Firstly, the system for discovering the patterns of information leakages in CGI scripts from Web log data was proposed. Secondly, those patterns for system administrators to modify their codes and enhance their Web site security were provided. The following aspects were described: one is to combine web application log with web log to extract more information,so web data mining could be used to mine web log for discovering the information that firewall and Information Detection System cannot find. Another approach is to propose an operation module of web site to enhance Web site security. In cluster server session, Density -Based Clustering technique is used to reduce resource cost and obtain better efficiency.
文摘ADCS （automated data collection system） is the element of MDMS （meter data management system） and a module in charge of collecting the data from DCUs （data collection units） or meters in AMI （advanced metering infrastructure）-based interactive two-way communications infrastructure. In this study, ADCS＇s functions for K-AMI （Korean Advanced Metering Infrastructure） were analyzed and the logical design of ADCS which is suitable for the requirements was suggested. A massive data collection and management functions was defined as very important functions of ADCS to meet optimal data processing mechanism. ADCS was designed for support about the fuctions of data collection and transfer, large capacity data processing, interactive services, parallel processing, etc.. Also, ADCS has roles of protocols exchange and gateway for service support in addition to data collection in AMI environment.
