The Role of URLs in Objectionable Web Content Categorization

Zhang, Jianping; Qin, Jason; Yan, Qiuming

doi:10.1109/wi.2006.170

Cited by 24 publications

(13 citation statements)

References 5 publications

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“…They also used supervised learning algorithm to classify URL"s. This method is useful only for text based web sites. [2] In this paper Ammar Almomani, B.B.Gupta, Samer Atawneh A Meulenberg, and Eman Almomani have done work to prevent phishing email attacks. Various techniques are used to detect such type of phishing mails.…”

Section: Research Work Conducted On Web Content Filteringmentioning

confidence: 99%

Web Content Filtration Using Different Web Mining Techniques in Educational System: An Overview

Modi¹,

Jagtap²

2017

IJARCSSE

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Abstract-Internet is widely used as ICT tool in today's education. The web content filtering is essential tool used to filter offensive, unwanted web content from web pages. Internet is widely used in educational organisations as an ICT tool. To protect our tech savvy student from accessing adult sites, offensive, unwanted data in absence of teachers and parents in school as well as home. A strong filter is required to prevent this type of unsolicited activity. In this paper we review the existing filter tools and their techniques.

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Section: Research Work Conducted On Web Content Filteringmentioning

confidence: 99%

Web Content Filtration Using Different Web Mining Techniques in Educational System: An Overview

Modi¹,

Jagtap²

2017

IJARCSSE

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“…Second, the URL‐blocking approach rejects any requests to URLs on the blacklist while accepting requests to URLs that are not blacklisted (Lee & Luh, 2008; Zhang, Qin, & Yan, 2006). This approach has the advantage of consuming no computational resource for content analysis.…”

Section: Literature Reviewmentioning

confidence: 99%

Mining search intents for collaborative cyberporn filtering

Lee

Chen

2011

J. Am. Soc. Inf. Sci.

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This article presents a search-intent-based method to generate pornographic blacklists for collaborative cyberporn filtering. A novel porn-detection framework that can find newly appearing pornographic web pages by mining search query logs is proposed. First, suspected queries are identified along with their clicked URLs by an automatically constructed lexicon. Then, a candidate URL is determined if the number of clicks satisfies majority voting rules. Finally, a candidate whose URL contains at least one categorical keyword will be included in a blacklist. Several experiments are conducted on an MSN search porn dataset to demonstrate the effectiveness of our method. The resulting blacklist generated by our search-intent-based method achieves high precision (0.701) while maintaining a favorably low false-positive rate (0.086). The experiments of a real-life filtering simulation reveal that our proposed method with its accumulative update strategy can achieve 44.15% of a macroaveraging blocking rate, when the update frequency is set to 1 day. In addition, the overblocking rates are less than 9% with time change due to the strong advantages of our search-intent-based method.This user-behavior-oriented method can be easily applied to search engines for incorporating only implicit collective intelligence from query logs without other efforts. In practice, it is complementary to intelligent content analysis for keeping up with the changing trails of objectionable websites from users' perspectives.

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“…URL analysis can be done either manually or automatically. There are a number of reports indicating positive results with automatic URL classification based on different technologies such as keyword search (Zhang, Qin, & Yan, 2006) or n-gram analysis (Kan & Thi, 2005). In our observations, we selected to manually classify resources because the study is a one-time procedure aimed at capturing students' browsing patterns from actual usage logs.…”

Section: Data Observationsmentioning

confidence: 99%

Improving the browsing experience in a bandwidth limited environment through traffic management

Odinma

Butakov

Grakhov

2011

Information Technology for Development

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The aim of this paper is to share our experiences with the establishment of a cost-effective policy for the utilization of limited infrastructure resources in developing nations. In particular, this paper discusses a case study of the American University of Nigeria that provides an example of the successful management of limited Internet bandwidth among a large group of users. Data from an Internet proxy server were studied to determine how traffic was allocated to different categories of digital content. The results from this study show that only a tiny fraction of expensive bandwidth was used for resources directly related to education. To address bandwidth limitations, a restrictive policy was proposed as a solution to improve the user browsing experience while not compromising access to critical resources. Preliminary policy implementation trials restricting certain applications, such as downloading large files and prohibiting Peer-to-Peer (P2P) traffic, indicated good results. The study also shows very positive financial implications of the proposed policy. These results show that limited investments in infrastructure management can significantly reduce the running expenses of the project, which facilitates its sustainability. The results of this study are of particular interest to other institutions and companies in developing nations that are facing similar expensive bandwidth problems.

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The Role of URLs in Objectionable Web Content Categorization

Cited by 24 publications

References 5 publications

Web Content Filtration Using Different Web Mining Techniques in Educational System: An Overview

Web Content Filtration Using Different Web Mining Techniques in Educational System: An Overview

Mining search intents for collaborative cyberporn filtering

Improving the browsing experience in a bandwidth limited environment through traffic management

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