網路位置為基礎的網站數量評估機制
                 -以色情網站為例

隨著網路的蓬勃發展，色情網站的數量也與日劇增，人們也開始重視色情網站的問題，然而，想要獲得色情網站的數量並不是件簡單的事。本篇論文試著提出一個評估色情網站的方法，並擁有一定的信心值與誤差。為了建立一套系統化且擁有較高信賴度的方法，我們採用網路位置（IP Address）取代以往以網域名稱（domain name）或網頁(webpage)來當作色情網站的單位，而我們使用關鍵字（keyword）、資料庫比對（database match）、鏈結分析（link analysis）來判斷是否為色情網站，再配合簡單隨機抽樣（Simple Random Sampling）來推得共有 69077個網路位置為色情網站，擁有95%信心值，誤差10%。

關鍵字

色情網站；網站數量評估；網站單位

並列摘要

It is known that the number of pornographic websites increases as the Web expands. To estimate this number of pornographic websites online remains a big challenge. This paper proposes a method, based on statistical approaches, to estimate the actual number of pornographic websites within a certain confidence interval, and error range. In order to develop a more systematic and reliable method to estimate the number of pornographic websites, we have chosen to use IP address as our unit of measurement instead of the more commonly used domain name and webpage to describe pornographic website. We have used keywords, database matches, and link analysis to determine if a website contains pornographic content or not. Based on Simple Random Sampling statistics, we have concluded the number of pornographic websites up to date is 69077 with 95% confidence interval and within 10% error.

並列關鍵字

pornographic websites ； Estimating the Number of Topic Specific Websites

參考文獻

蔡雨利，「以鏈結為基礎的網站行為研究-網址收集演算法與實作」，碩士論文，國立台灣大學資訊工程研究所，2004年。

[06 Lipsman]

C. Cusano, R. Schettini, G. Ciocca, “Detection of pornographic digital images”, Proceedings of Visual Communications and Image Processing, 2003

Rongbo Du, Reihaneh Safavi-Naini, Willy Susilo, ”Web Filtering Using Text Classification”, The 11th IEEE international conference on networks, 2003

James Ze Wang, Jia Li, Gio Wiederhold, Oscar Firschein”Classifying Objectionable Websites Based on Image Content,”,IDMS 1998,1998113-124

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網路位置為基礎的網站數量評估機制 -以色情網站為例

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