Web Analyzer Software Tool in Order to Identify an Know the Behavior of Users That Visit Website

المؤلفون

  • Sarhad Baez Hasan Computer Science Department, Soran University, Kurdistan Region –Iraq

DOI:

https://doi.org/10.25007/ajnu.v11n4a506

الملخص

The goal of our paper is to design and implement a software tool in order to analyze Apache log file of a website. In this project, a software tool is created that is called web analyzer software tool in order to identify and know the behavior of users that visit a website. This information is used to improve the structure of a website.

Some facilities of our software tool are that it lets a website owner to know the number of requests per a specific day, number of requests per week, and most visited pages, number of visitors per day, most used operating systems during a log file. Moreover, the website owner can investigate an IP to know if it is blacklisted or not and what an IP had done during a specific day and how much an IP was online and what he/she wants. Based on this valuable info a website can response to the requests appropriately. The software tool can find location of any IP address, which browsers, and Operating systems used by the user and the software tool can determine the new visitors to the website daily. Moreover, we can detect the countries of IP address and we show them graphically on a chart. By using this software, we can measure and analyze the website log files easily. The C# language is used for coding; Java script is used to find the location of the IPs.

التنزيلات

بيانات التنزيل غير متوفرة بعد.

المراجع

[1] AVINASHKAUS. (2009). Web Analytics 2.0. Wiley Publishing,Inc.
[2] Catherine, D., Yi, Z., & Starr, R. (2004). Using Web Analytics to Measure the Activity in a. Dwyer et al., 11. Clifto, B. (2009). Advanced Web Metrics with Google. John Wiley & Sons, Inc.
[3] Hakem, B., & Geert, D. (2009). A Statistical Tech-nique to Resist. SECURITY AND COMMUNICA-TION NETWORKS, 18.
[4] H. (2006). Measuring the Success of Your Website: A Customer Centric Approach to Website Measure-ment. Person Education Australia.
[5] Jansen, B. J. (2006). Search log analysis: What it is, what's been done. Library & Information Science Re-search, 26.
[6] Kumar, P. D. (2016). Overview of System Anaylsis and Design.
[7] L.K. Joshila, G., V.Maheswari, & Dhinaharan, N. (2011). ANALYSIS OF WEB LOGS AND WEB USER IN WEB MINING. International Journal of Network Security & Its Applications (IJNSA), 12.
[8] PETERSON, E. T. (2004). WEB ANALYTICS DEMYDFIED.
[9] Sterne, J. (2002). Web Metrics: Proven Methods for Measuring Website Success. New York: John Wiley & Sons,Inc.
[10] Strickland, J. (2011). Systems Engineering Pro-cesses and Practice. Lulu press.
[11] Suneetha, K. R., & Krishnamoorthi, D. R. (2009). Identifying User Behavior by Analyzing Web Server. IJCSNS International Journal of Computer Science and Network Security, 6.

منشور

2022-11-03

كيفية الاقتباس

Hasan, S. B. (2022). Web Analyzer Software Tool in Order to Identify an Know the Behavior of Users That Visit Website. المجلة الأكاديمية لجامعة نوروز, 11(4), 75–81. https://doi.org/10.25007/ajnu.v11n4a506

إصدار

القسم

مقالات

الأعمال الأكثر قراءة لنفس المؤلف/المؤلفين