Survey of Keyword Filtering for Anti-Active Jamming in Chinese

Abstract:

This paper made an induction from case of keyword filtering based on anti-active jamming in Chinese. The main work was summarized related works of current situation and technology level, and then analyzed existed problems for traditional information filtering, at last was the trend of forecasting for keyword filtering based on anti-active jamming in Chinese.

• Periodical: Advanced Materials Research (Volumes 268-270)
• Pages: 1701-1706
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.268-270.1701
• Online since: July 2011
• Authors: Wan Wen Luo, Fei Gao, Xue Guang Zhou
• Keywords: Active Jamming in Chinese, Content Security, Information Filtering, Information Security

References

[1] Denning P J. Electronic junk [J], Communications of the ACM, 1992, 25(3): 163-165. Malone T, Grant K, Turbak F, et al. Intelligent information sharing systems [J]. Communications of the ACM, 1987, 5: 390-402.

DOI: 10.1145/22899.22903

[2] Christopher D H. Internet Filter Effectiveness: Testing Over and under inclusive Blocking Decisions of Four Popular Filters[C]. Proceedings of the Tenth Conference on Computers, Freedom and Privacy: Challenging the Assumptions, 2000: 287-294.

DOI: 10.1145/332186.332302

[3] Lee P Y, Hui S C, and Fong A C M. Neural Networks for Web Content Filtering [J]. IEEE Intelligent Systems, 2002: 48-57.

DOI: 10.1109/mis.2002.1039832

[4] Lee J S, Jeon Y H. A Study on the Effective Selective Filtering Technology of Harmful Website Using Internet Content Rating Service [J]. Communication of KIPS Review, 2002, 9(2).

[5] Caulkins J P, Ding W, Duncan G, et al. A method for managing access to web pages: Filtering by statistical classification applied to text [J]. Decision Support Systems, 2006(42): 144–161.

DOI: 10.1016/j.dss.2004.11.015

[6] Lee Z S, Maarof M A, Selamat A, et al. Enhance Term Weighting Algorithm as Feature Selection Technique for Illicit Web Content Classification[C]. Eighth International Conference on Intelligent Systems Design and Applications, 2008, 145-150.

DOI: 10.1109/isda.2008.171

[7] Lee P Y, Hui S C, Fong A C M. An Intelligent Categorization Engine for Billingual Web Content Filtering [J]. IEEE transactions on multimedia, 2005, 7(6): 1183-1190.

DOI: 10.1109/tmm.2005.858414

[8] Hu Wei-ming, Wu Qu, Chen Zhou-yao, et al. Recognition of pornographic web pages by classifying texts and images[J]. IEEE transactions on pattern analysis and machine intelligence, 2007, 29(6): 1019–1034.

DOI: 10.1109/tpami.2007.1133

[9] Lee W, Lee S S, Chung S, et al. An 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

[10] Wu Qu, Hu Wei-ming. Web Sensitive Text Filtering by Combing Semantics and Statistics[C]. Proceeding of NLP-KE'05, 2005: 663-667.

[11] Kim Y, Nam T. An Efficient Text Filter for Adult Web Documents[C]. ICACT2006, 2006(2): 438-440.

[12] Peng Yuzhong, Yuan Chang-an, Wang Yan. Studies on objectionable information filtering technology based on contents understanding. [J]. Application Research of computers. 2009, 26(2): 433-438.

[13] Li Qiang, Li Jianhua. Filter of unhealthy text based on SVM [J] Computer Engineering, 2006, 32(10): 4-5.

[14] Liu Yongdan, Zeng Haiquan, Li Ronglu. Polarity text filtering based on semantic analysis [J]. Journal of China Institute of Communications, 2004, 25(7): 78-85.

[15] Cheng Xian-yi, Yang Tianming, Zhu Qian. Research of text filtering based on semantic orientation [J]. Application Research of computers, 2009, 26(12): 4460-4462.

[16] Gao Qingshi, Li Li, Liu HongLan. Key word filter method based on pruning on the tree representations of semantic elements [J]. Journal of university of science and technology Beijing, 2006, 28(12): 1191-1195.

[17] Li Cun, Qiao Baojun, Cao Yuan-da. Word Orientation Recognition Based on Semantic Analysis [J]. Pattern Recognition and Artificial intelligence, 2008, 21(4): 482-487.

[18] Fan Xinghua, Sun Maosong. A High Performance Two-Class Chinese Text Categorization Method [J]. Chinese journal of Computers, 2006, 29(1): 124-131.

[19] Zhu ZhenFang, Liu Pei-yu, Zhang Hongjun. Network information filtering model based on annealing genetic algorithm [J]. Computer engineering and design, 2009, 30(2): 419-422.

[20] Huang Huiyu, Li Congdong, Ren Jiadong. Real Time Monitoring Prototype System for Bad Information Based on Artificial Neural Networks [J]. Computer Engineering, 2006, 32(2): 254-256.

[21] Liu He, Liu Da-you, Fei Zhi-de, Gao Yin. A Feature Weighting Scheme for Text Categorization Based on Feature Importance. Journal of Computer Research and Development, 2009, 46(10): 1693-1703.

[22] Xueguang Zhou, Huanguo Zhang, A Dynamic Data Mining Algorithm Based on Chinese Characteristics [J], J. of Computational Information Systems. 3(3): 859-866, (2007).

[23] Xueguang Zhou, Huanguo Zhang, A Cascade Mining Algorithm Based on Chinese Keywords Web Mining[C], Proc. of The 7th World Congress on Intelligent Control and Automation, Chongqing, China: 4080-4084, June, (2008).

DOI: 10.1109/wcica.2008.4593577

[24] Zhou Xueguang, Zhang Huanguo. Flexible Pattern Matching Algorithm in Chinese Strings[C], Proceedings of the 27th Chinese Control Conference, Kumming, China, vol. 5: 610-614, July (2008).

DOI: 10.1109/chicc.2008.4604947

[25] Sun Yan, Zhou Xueguang, A character recognition algorithm for unhealthy-text embedded in web images[C], Proceedings of the 14th Youth Conference on Communication, YCC2009: 453-458, Dalian, China, July24-26, 2009, Scientific Research Publishing Press.

[26] Zhou Xueguang, Zhang Huanguo. Flexible Pattern Matching Algorithm for Anti-Active Jamming in Chinese String [J] J. Wuhan University (Nat. Sci. Ed. ), 2009, 55(1): 101-104.

DOI: 10.1109/chicc.2008.4604947

[27] Shuai Zhenghua, Zhou Xueguang. Feature Extraction Method in Chinese Text Based on Flexible Matching [J], Computer Engineering, 2010, 36(16): 63-64.

[28] Ma Fang, Zhou Xueguang, Chen Tao, Networking jamming equation based on super-logical countermeasures, 2010 International Conference on Information Security and Artificial Intelligence(ISAI2010), Vol. 1: 14-18, Dec 17-19, 2010, Chengdu, China, IEEE Computer Society Press.