• The KIPS Transactions:PartD
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• v.14D no.6
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• pp.701-706
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• 2007

Datawebhouse consists of both web log analysis used for customer management and datawarehouse used for decision support. However, datawebhouse needs complex operations for management in order to transform and integrate data from heterogeneous data sources and distributed systems. We propose a metadata schema in order to enable data integration and data management which are essential in datawebhouse environments. We show that our proposed schema supports datawebhouse development and enables integrated asset management of business information. With ETL metadata for web log extract, we can improve the data processing time of web log.

• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.117-127
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• 2005

Numerous internet pop advertisement are being provided according to the rapid development of e-commercial and a rise in users. However, it has not been based on analysis of users' inclination but just one-sided providing. With that reason, many web-site provider want to advertis e more efficient and distinguished Internet-advertisement as analyzing Server's Log accessed. In this thesis, we have studied and tested relatively simply adoption system to provide personalized advertisement service. In order to influence personal disposition to system as the most effective way, it first of all uses History files as source data and after refining it, it can search not only visitors' inclination but also the others' visit-list on the other server. As a result of it, it can make advertisement more reality and activity.

• The Journal of Society for e-Business Studies
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• v.4 no.1
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• pp.21-36
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• 1999

Using user monitoring techniques on web, marketing decision makers in cyber shopping malls can gather customer behavior data as well as sales transaction data and customer profiles. In this paper, we present a marketing rule extraction technique for customer behavior analysis in cyber shopping malls, The technique is an application of market basket analysis which is a representative data mining technique for extracting association rules. The market basket analysis technique is applied on a customer behavior log table, which provide association rules about web pages in a cyber shopping mall. The extracted association rules can be used for mall layout design, product packaging, web page link design, and product recommendation. A prototype cyber shopping mall with customer monitoring features and a customer behavior analysis algorithm is implemented using Java Web Server, Servlet, JDBC(Java Database Connectivity), and relational database on windows NT.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.2
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• pp.91-95
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• 2007

Main goal of web recommendation system is to study how user behavior on a website can be predicted by analyzing web log data which contain the visited web pages. Many researches of the web recommendation system have been studied. To construct web recommendation system, web mining is needed. Especially, web usage analysis of web mining is a tool for recommendation model. In this paper, we propose web recommendation system using grid based support vector machines for improvement of web recommendation system. To verify the performance of our system, we make experiments using the data set from our web server.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.1
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• pp.265-278
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• 2005

This study examines web query types and topics submitted to Naver during one year period by analyzing query logs and click logs. Query logs capture queries users submitted to the system, and click logs consist of documents users clicked and viewed. This study presents a methodology to classify query types and topics. A method for click log analysis is also suggested. When classified by query types, there are more site search queries than content search queries. Queries about computer/internet. entertainment, shopping. game, education rank hightest. The implications for system designers and web content providers are discussed.

• Journal of the Korean Society for information Management
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• v.20 no.2
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• pp.27-41
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• 2003

Query logs are online records that capture user interactions with information retrieval systems and all the search processes. Query log analysis offers ad advantage of providing reasonable and unobtrusive means of collecting search information from a large number of users. In this paper, query logs of NAVER, a major Korean Internet search service, were analyzed to investigate the information seeking behabior of NAVER users. The query logs were collected over one week from various collecions such as comprehensive search, directory search and web ducument searc. It is expected that this study could contribute to the development and implementation of more effective web search systems and services.

• Journal of Korea Multimedia Society
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• v.6 no.5
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• pp.909-920
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• 2003

Nowadays, IT for CRM has been growing and developed rapidly. Typical techniques are statistical analysis tools, on-line multidimensional analytical processing (OLAP) tools, and data mining algorithms (such neural networks, decision trees, and association rules). Among customer data, web log data is very important and to use these data efficiently, applying OLAP technology to analyze multi-dimensionally. To make OLAP cube, we have to precalculate multidimensional summary results in order to get fast response. But as the number of dimensions and sparse cells increases, data explosion occurs seriously and the performance of OLAP decreases. In this paper, we presented why the web log data sparsity occurs and then what kinds of sparsity patterns generate in the two and t.he three dimensions for OLAP. Based on this research, we set up the multidimensional data models and query models for benchmark with each sparsity patterns. Finally, we evaluated the performance of three OLAP systems (MS SQL 2000 Analysis Service, Oracle Express and C-MOLAP).

• Convergence Security Journal
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• v.6 no.4
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• pp.91-99
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• 2006

Generally, a study of web caching is conducted on a performance improvement with structural approaches and a new hybrid method using existing methods, and studies on caching method itself. And existing analysis of reference-characteristic are conducted on a history analysis and a preference of users, a view point of data mining by log analysis. In this study, we analyze the reference-characteristic of web object on a view point of a characteristic of probability-distribution and a mean value of lifetime of a web-object. And using this result, we propose the new method for a performance improvement of a web-caching.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.335-339
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• 2003

We proposed a Web cache replacement technique of a divided scope base that considered a size reference characteristics of a Web object for efficient operation of a Web base system and, in this study, analyzed performance of the replacement technique that proposed it though an experiment. We analyzed a reference characteristics of size to occur by a user reference characteristics through log analysis of a Web Base system in an experiment. And we divide storage scope of a cache server as its analysis result and tested this replacement technique based n divided scope. The proposed technique has a flexibility about a change of a reference characteristics of a user. Also, experiment result, we compared it with LRU and the LRUMIN which were an existing replacement technique and confirmed an elevation of an object hit ratio.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.337-340
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• 2022

SQL Injection attacks are one of the older attack techniques and are the dominant type of hacking attempts against web services. There have been many attempts to hack SQL injection attacks by exposing data or obtaining privileges. In this paper, we implement a log analysis system that can respond to SQL injection attacks in real time using the open source ELK Stack. did. By providing a visualization of SQL injection attack log data through the implemented system, it is expected that users will be able to easily grasp the degree of attack risk and quickly prepare for attacks.