Analysis of real singularities and its application to mathematical information

实奇点分析及其在数学信息中的应用

• 批准号: 23740094
• 负责人: MATSUDA Takeshi
• 金额: $ 1.66万
• 依托单位: Cyber University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2011
• 资助国家: 日本
• 起止时间: 2011 至 2012
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-23740094/
• 关键词: ベイズ学習; 実特異点; 汎化誤差; Web アプリケーション攻撃; 自動検出; 確率モデル; 特異点解析; 情報セキュリティ; 情報数理

In this study, we studied on real singularities analysis in Bayesian inference and its application to information security. Firstly, we studied on real singularities of Bayesian inference and the generalization error. Secondly, we studied on the method to apply Bayesian inference to the detection of web application attacks. In that process, we proposed the extraction method of attack features using symbols in strings. By using the feature extraction method, we proposed a new stochastic model to detect web application attacks. Finally, we showed that the effectiveness of Bayesian inference concerning the application of the detection of web application attacks.

本文主要研究贝叶斯推理中的实奇异性分析及其在信息安全中的应用。首先，我们研究了贝叶斯推理的实奇异性和泛化误差。其次，研究了将贝叶斯推理应用于web应用程序攻击检测的方法。在此过程中，我们提出了利用字符串中的符号提取攻击特征的方法。利用特征提取方法，提出了一种新的随机模型来检测web应用程序攻击。最后，我们证明了贝叶斯推理在web应用程序攻击检测中的有效性。

项目成果

On Upper and Lower Boundaries of Real Log Canonical Threshold and Free Energy

实数对数正则阈值与自由能的上下界

• 发表时间: 2011
• 期刊: The 7th International Conference on Mathematics, Statistics and its Applications (ICMSA 2011)
• 作者: Y. Asakura;K. Yasuda;野津裕史;Takeshi Matsuda
• 通讯作者: Takeshi Matsuda

Cross Site Scripting Attacks Detection Algorithm Based on the Appearance Position of Characters

基于字符出现位置的跨站脚本攻击检测算法

• 发表时间: 2012
• 期刊: Proceedings in the 5th International Conference on Communications, Computers and Applications
• 作者: Takeshi Matsuda;Daiki Koizumi;MichioSonoda
• 通讯作者: MichioSonoda

Estimation of SQL Injection AttacksBased on Single Character

基于单字符的SQL注入攻击预估

• 发表时间: 2012
• 期刊: The 2012 International Conference on Applied and Theoretical Information Systems Research
• 作者: 井手勇介;右田正夫;菊池光;今井崇雅;Takeshi Matsuda
• 通讯作者: Takeshi Matsuda

SQLインジェクション攻撃自動検出支援モデルと予測誤差,情報処理学会研究報告

SQL注入攻击自动检测支持模型和预测错误，日本信息处理学会研究报告

• 发表时间: 2012
• 作者: 野津裕史;田端正久;松田健
• 通讯作者: 松田健

On the classification based on the stochastic method

基于随机方法的分类

• 发表时间: 2012
• 期刊: Mathematical Sciences InternationalResearch Journal
• 作者: Akitoshi Takayasu;Xuefeng Liu and Shin'ichi Oishi;Takeshi Matsuda
• 通讯作者: Takeshi Matsuda