Sensitive Webpage Filter Based on Multiple Filtering

Dong Mei Wang; Ming Ma; Yan Sun

doi:10.4028/www.scientific.net/AMM.241-244.2891

Paper Titles

Key Technologies in Design and Realization of Simulation Software for the Satellite Experimentations’ Inversion
p.2872

A Method of the Post-Processing of Printed Formula Extraction
p.2878

A Task-Oriented Group Selecting Model of Intermediate Ordnance Equipment Technique Support Force
p.2882

Design and Implementation of E-Learning System for Code-Switching Bilingual Teaching
p.2886

Sensitive Webpage Filter Based on Multiple Filtering
p.2891

A Natural Language User Demand Semantic Model for Remote Sensing Image Retrieval
p.2897

Design and Implementation of Configurable FFT/IFFT Soft-Core Based on FPGA
p.2901

On Multipath Routing Algorithm of Multiple QoS Based on DSR Protocol
p.2910

Photo Viewer Using Geometry Method
p.2915

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 241-244Sensitive Webpage Filter Based on Multiple...

Sensitive Webpage Filter Based on Multiple Filtering

Abstract:

In order to improve the accuracy and real-time performance of webpage filtering, a sensitive webpage filter based on multiple filtering was designed. Firstly, the URL is gained from IE browser’s address bar by BHO technology; Secondly, match the webpage text with sensitive vocabulary database using SMA algorithm; Finally, use the sensitive image detecting algorithm combing face detection, skin detection, skin text detection and classification to filter sensitive images in the webpage. The Simulation experimental results showed that the sensitive webpage filter can effectively intercept and filter sensitive webpages, meeting the accuracy and the real-time requirement of webpage filtering.

You might also be interested in these eBooks

Industrial Instrumentation and Control Systems

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 241-244)

Pages:

2891-2896

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.241-244.2891

Citation:

Cite this paper

Online since:

December 2012

Authors:

Dong Mei Wang, Ming Ma, Yan Sun

Keywords:

Multiple Filtering, Sensitive Image Filter, Sensitive Webpage Filter, URL Filter, Webpage Text

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

References

[1] J .Y. Sun. Research on the Technologies of Content-Based Erotic Image Filtering [D]. Jilin University, Changchun, China (2007).

Google Scholar

[2] Y. Wu, Y.C. Edward, T.C. Kwang, et al. MORF: A Distributed Multimodal Information Filtering System [M]. Lecture Notes in Computer Science (2002).

Google Scholar

[3] http: /www. ltutech. com/en.

Google Scholar

[4] Image Beagle, http: /www. imagebeagle. com.

Google Scholar

[5] B. Pang, L. Lee, S. Vaithyanathan. Sentiment Classification Using Machine Learning Techniques [C]. Proceedings of the Conference on Empirical Methods in Natural Language Processing, 79-86(2002).

DOI: 10.3115/1118693.1118704

Google Scholar

[6] S.S. Lee, S. Chung, et al. A Harmful Contents Classification Using The Harmful Word filtering and SVM [C]. ICCS 2007, Part III, LNCS 4489: 18-27.

DOI: 10.1007/978-3-540-72588-6_3

Google Scholar

[7] W. Wei. The Research on Network Pornographic Image Filtering Based on Erotogenic-part Detection [D]. Jilin University, Changchun, China (2007).

Google Scholar

[8] N. Nanas, A.D. Roeck, M. Vavalis. What happened to content-based information filtering? [J]. J. ICTIR 2009, LNCS 5766: 249-256.

DOI: 10.1007/978-3-642-04417-5_23

Google Scholar

[9] P. Malo, P. Siitari, O. Ahlgren, et al. Sentiment content filtering with Wikipedia and ontologies [C]. Proceedings of 2010 IEEE International Conference on Data Mining Workshops (2010), 518-526.

DOI: 10.1109/icdmw.2010.74

Google Scholar

[10] L.T. Lv, C.X. Zhao, J. Shang, Y.X. Yang. Pornographic images filtering model based on high-level semantic bag-of-visual-words [J]. J. Computer Applications, Vol. 31(2011), pp.1847-1849.

Google Scholar

[11] Y. Sun, G.X. Zhou. Research on Webpage Filtering Based on Rough Set and Bayesian Decision Theory. J. Chinese Information Processing, Vol. 26(2012), pp.67-72.

Google Scholar

[12] H. Song , Y.Q. Dai. A New Fast String Matching Algorithm for Content Filtering and Detection. J. Computer Research and Development, Vol. 41(2004), pp.940-945.

Google Scholar