期刊文献+

基于验证码破解的HTTP攻击原理与防范 被引量:20

Principles and Prevention of HTTP Attacks Based on Identifying Code Recogniztion
在线阅读 下载PDF
导出
摘要 为防止基于表单自动提交的HTTP攻击,验证码技术得到了广泛应用。论文对常见的几种验证码形式作了简要介绍,讨论了验证码的破解原理,实验表明,互联网上相当多的验证码都不具有可靠的安全性。最后结合OCR技术探讨了一些防范方法。 To avoid HTTP attacks using automatic form-committing, the identifying code technique is widely used. A brief introduction of the types of identifying code techniques and its application is given. The principles of recognizing and attacking are discussed. Primary experiments suggest that quite a lot of identifying codes are not secure enough. Finally, some methods and schedules with OCR techniques for prevention are proposed.
作者 吉治钢
出处 《计算机工程》 CAS CSCD 北大核心 2006年第20期170-172,共3页 Computer Engineering
关键词 验证码 HrrP攻击 INTERNET安全 Identifying code HTTP attacks Internet security
  • 相关文献

参考文献5

  • 1红牌楼主.论附加码在网络安全中的作用[EB/OL].http:// www.myrain.org/info/1234-1.htm,2004-09-08.
  • 2陈十三哥.解密验证码技术[EB/OL].http://www.juntuan.net/jtyc/ wenzhang/n/2005-07-30/6750.html,2005-07-30.
  • 3Hemon.XMB图片格式验证码的破解识别[EB/OL].http://www.hemon.info/blogview.asp? logID=3,2004-10-11.
  • 4陈友斌.非特定人脱机手写汉字识别方法的研究[D].北京:清华大学,1996-07.
  • 5李佐,王姝华,蔡士杰.基于特征行必要-充分性匹配的字符识别方法[J].软件学报,2002,13(1):85-91. 被引量:6

二级参考文献8

  • 1Trier, O.D., Jain, A.K., Taxt, T. Feature extraction methods for character recognition--a survey. Pattern Recognition, 1996,29(4): 641~662.
  • 2Cho, S.-B. Recognition of unconstrained handwritten numerals by double self-organizing neural network. In: Proceedings of the 13th International Conference on Pattern Recognition. Vienna: IEEE Press, 1996. 426~430.
  • 3Chuang, Chen-Tsun, Tseng, Lin-Yu. A heuristic algorithm for the recognition of printed Chinese characters. IEEE Transactions on Systems, Man, and Cybernetics, 1995,25(4):710~717.
  • 4Ho, T.K., Hull, J.J., Srihari, S.N. Decision combination in multiple classifier system. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994,16(1):66~75.
  • 5Oh, II-Seok, Lee, Jin-Seon, Suen, Ching Y. Analysis of class separation and combination of class-dependent features for handwriting recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999,21(10):1089~1094.
  • 6Oh, Il Seok, Suen, Ching Y. A feature for character recognition base on directional distance distribution. In: Werner, B., ed. Proceedings of the 4th International Conference on Document Analysis and Recognition. Ulm: IEEE Computer Society, 1997. 288~292.
  • 7Yamada, Keiji. Non-Uniformly sampled feature extraction method for Kanji character recognition. In: Werner, B., ed. Proceedings of the 4th International Conference on Document Analysis and Recognition. Ulm: IEEE Computer Society, 1997. 200~205.
  • 8Wang, Shu-hua, Li, Zuo, Yang, Ruo-yu, et al. A document image understanding system for tender. In: Lü, Jian, ed. Proceedings of the International Symposium on Future Software Technology'99. Tokyo: Software Engineers Association, 1999. 360~362.

共引文献5

同被引文献109

引证文献20

二级引证文献84

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部