Web screening model using multiple features

Zulaiha Ali Othman, Juhana Salim, Zainal Badli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Now days, Internet in becoming a basic medium communication either for business or individual life as most countries in the world are applying free internet access. However, absence of proper regulation has lead to social epidemic such as reducing working performance, addiction to pornographic sites and online gamming. Organization, companies and family institutions are fully aware of the current issue. One prominent solution to those problems is to provide screening on the internet transaction. There have been a lot of diverse screening models and techniques used in the market, some of which includes URL (Uniform Resource Locator) analysis, n-grams analysis, text analysis and PICS (Platform for Internet Content Selection) labeling. However, those techniques have weaknesses. This paper presents a screening model based on multiple features. The multiple features is an integrated filtering techniques that combine in such a way to produce quality screening. The screening model is developed by conducting several series of experiments. The performance of the model is evaluated by developing a multiple features screening tools which can be installed at proxy server to detect consumer access at application layer. This screening tool was developed using Java. The result has shown that combination of the four filtering techniques has shown as a better quality screening model compare with other combination approach.

Original languageEnglish
Title of host publicationProceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
DOIs
Publication statusPublished - 2011
Event2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 - Bandung
Duration: 17 Jul 201119 Jul 2011

Other

Other2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011
CityBandung
Period17/7/1119/7/11

Fingerprint

Screening
Internet
Labeling
Websites
Industry
Servers
Communication
Experiments

Keywords

  • multi-features
  • web filtering
  • web screening

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

Cite this

Ali Othman, Z., Salim, J., & Badli, Z. (2011). Web screening model using multiple features. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011 [6021618] https://doi.org/10.1109/ICEEI.2011.6021618

Web screening model using multiple features. / Ali Othman, Zulaiha; Salim, Juhana; Badli, Zainal.

Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021618.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ali Othman, Z, Salim, J & Badli, Z 2011, Web screening model using multiple features. in Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011., 6021618, 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011, Bandung, 17/7/11. https://doi.org/10.1109/ICEEI.2011.6021618
Ali Othman Z, Salim J, Badli Z. Web screening model using multiple features. In Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011. 6021618 https://doi.org/10.1109/ICEEI.2011.6021618
Ali Othman, Zulaiha ; Salim, Juhana ; Badli, Zainal. / Web screening model using multiple features. Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011. 2011.
@inproceedings{bf4a964e66f3442b9bad99575c5a4654,
title = "Web screening model using multiple features",
abstract = "Now days, Internet in becoming a basic medium communication either for business or individual life as most countries in the world are applying free internet access. However, absence of proper regulation has lead to social epidemic such as reducing working performance, addiction to pornographic sites and online gamming. Organization, companies and family institutions are fully aware of the current issue. One prominent solution to those problems is to provide screening on the internet transaction. There have been a lot of diverse screening models and techniques used in the market, some of which includes URL (Uniform Resource Locator) analysis, n-grams analysis, text analysis and PICS (Platform for Internet Content Selection) labeling. However, those techniques have weaknesses. This paper presents a screening model based on multiple features. The multiple features is an integrated filtering techniques that combine in such a way to produce quality screening. The screening model is developed by conducting several series of experiments. The performance of the model is evaluated by developing a multiple features screening tools which can be installed at proxy server to detect consumer access at application layer. This screening tool was developed using Java. The result has shown that combination of the four filtering techniques has shown as a better quality screening model compare with other combination approach.",
keywords = "multi-features, web filtering, web screening",
author = "{Ali Othman}, Zulaiha and Juhana Salim and Zainal Badli",
year = "2011",
doi = "10.1109/ICEEI.2011.6021618",
language = "English",
isbn = "9781457707520",
booktitle = "Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011",

}

TY - GEN

T1 - Web screening model using multiple features

AU - Ali Othman, Zulaiha

AU - Salim, Juhana

AU - Badli, Zainal

PY - 2011

Y1 - 2011

N2 - Now days, Internet in becoming a basic medium communication either for business or individual life as most countries in the world are applying free internet access. However, absence of proper regulation has lead to social epidemic such as reducing working performance, addiction to pornographic sites and online gamming. Organization, companies and family institutions are fully aware of the current issue. One prominent solution to those problems is to provide screening on the internet transaction. There have been a lot of diverse screening models and techniques used in the market, some of which includes URL (Uniform Resource Locator) analysis, n-grams analysis, text analysis and PICS (Platform for Internet Content Selection) labeling. However, those techniques have weaknesses. This paper presents a screening model based on multiple features. The multiple features is an integrated filtering techniques that combine in such a way to produce quality screening. The screening model is developed by conducting several series of experiments. The performance of the model is evaluated by developing a multiple features screening tools which can be installed at proxy server to detect consumer access at application layer. This screening tool was developed using Java. The result has shown that combination of the four filtering techniques has shown as a better quality screening model compare with other combination approach.

AB - Now days, Internet in becoming a basic medium communication either for business or individual life as most countries in the world are applying free internet access. However, absence of proper regulation has lead to social epidemic such as reducing working performance, addiction to pornographic sites and online gamming. Organization, companies and family institutions are fully aware of the current issue. One prominent solution to those problems is to provide screening on the internet transaction. There have been a lot of diverse screening models and techniques used in the market, some of which includes URL (Uniform Resource Locator) analysis, n-grams analysis, text analysis and PICS (Platform for Internet Content Selection) labeling. However, those techniques have weaknesses. This paper presents a screening model based on multiple features. The multiple features is an integrated filtering techniques that combine in such a way to produce quality screening. The screening model is developed by conducting several series of experiments. The performance of the model is evaluated by developing a multiple features screening tools which can be installed at proxy server to detect consumer access at application layer. This screening tool was developed using Java. The result has shown that combination of the four filtering techniques has shown as a better quality screening model compare with other combination approach.

KW - multi-features

KW - web filtering

KW - web screening

UR - http://www.scopus.com/inward/record.url?scp=80054019427&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=80054019427&partnerID=8YFLogxK

U2 - 10.1109/ICEEI.2011.6021618

DO - 10.1109/ICEEI.2011.6021618

M3 - Conference contribution

SN - 9781457707520

BT - Proceedings of the 2011 International Conference on Electrical Engineering and Informatics, ICEEI 2011

ER -