计算机科学 ›› 2020, Vol. 47 ›› Issue (6A): 352-359.doi: 10.11896/JsJkx.191200054
诸珺文
ZHU Jun-wen
摘要: 当代对于SQL注入类型的攻击防御系统,大多研究是从静态单句过滤威胁语句的角度来进行设计。鉴于其较低的注入语句识别率以及较高的误报率,提出双层SQL注入防御模型,将注入的过程连续化后进行动态建模分析,并引入BP神经网络进行自学习与自修正。交叉验证实验表明,在Apache+MySQL环境中,所提模型有较高的注入识别率,对于正在遭受SQL注入的识别具有一定的优势。
中图分类号:
[1] 陈波,于泠,肖军模.计算机系统安全原理与技术.北京:机械工业出版社,2009. [2] SUI M.Network security situation assessment model based on information fusion [J].Digital Communication World,2019(8):153. [3] WANG X P.Computer network security analysis modelingbased on deep learning algorithm .Electronic Technology and Software Engineering,2019(16):195-196. [4] LI X,DUAN Y C.Network security situation assessment methodbased on Improved Hidden Markov model .Computer Science,2020,47(5):1-5. [5] YE M X.Design and research of SQL inJection vulnerabilityscanning system based on Web .Electronic Design Enginee-ring,2019,27(16):20-23,28. [6] TIAN Y J,ZHAO Z M,WANG L J,et al.Research on the double layer defense model of SQL inJection attack based on classification .Information Network Security,2015(6):1-6. [7] LU J Y,XIONG Y S,CHEN W,et al.Cyber security defense model based on spark .Electronic Technology and Software Engineering,2019(17):184-185. [8] HOU P.SQL inJection attack model based on SGM model .Journal of Anyang Normal University,2019(2):38-43. [9] KUGU Z Z.Public management paradigm of Japanese super intelligent society .Shanghai Quality,2019(7):25-26. [10] SUN T T.Characteristics and challenges of intelligent society .Shanghai:Shanghai Academy of Social Sciences,2018. [11] ZHANG Q Q,YOU J S,GAO Y F.Overview of big data forensics technology .Information Security Research,2017,3(9):795-802. |
[1] | 徐佳楠, 张天瑞, 赵伟博, 贾泽轩. 面向供应链风险评估的改进BP小波神经网络研究 Study on Improved BP Wavelet Neural Network for Supply Chain Risk Assessment 计算机科学, 2022, 49(6A): 654-660. https://doi.org/10.11896/jsjkx.210800049 |
[2] | 朱旭辉, 沈国娇, 夏平凡, 倪志伟. 基于螺旋进化萤火虫算法和BP神经网络的模型及其在PPP融资风险预测中的应用 Model Based on Spirally Evolution Glowworm Swarm Optimization and Back Propagation Neural Network and Its Application in PPP Financing Risk Prediction 计算机科学, 2022, 49(6A): 667-674. https://doi.org/10.11896/jsjkx.210800088 |
[3] | 刘宝宝, 杨菁菁, 陶露, 王贺应. 基于DE-LSTM模型的教育统计数据预测研究 Study on Prediction of Educational Statistical Data Based on DE-LSTM Model 计算机科学, 2022, 49(6A): 261-266. https://doi.org/10.11896/jsjkx.220300120 |
[4] | 黄国兴, 杨泽铭, 卢为党, 彭宏, 王静文. 利用粒子滤波方法求解数据包络分析问题 Solve Data Envelopment Analysis Problems with Particle Filter 计算机科学, 2022, 49(6A): 159-164. https://doi.org/10.11896/jsjkx.210600110 |
[5] | 夏静, 马中, 戴新发, 胡哲琨. 基于BP神经网络的智能云效能模型 Efficiency Model of Intelligent Cloud Based on BP Neural Network 计算机科学, 2022, 49(2): 353-367. https://doi.org/10.11896/jsjkx.201100140 |
[6] | 程希, 曹晓梅. 基于信息携带的SQL注入攻击检测方法 SQL Injection Attack Detection Method Based on Information Carrying 计算机科学, 2021, 48(7): 70-76. https://doi.org/10.11896/jsjkx.200600010 |
[7] | 郭福民, 张华, 胡瑢华, 宋岩. 一种基于表面肌电信号的腕部肌力估计方法研究 Study on Method for Estimating Wrist Muscle Force Based on Surface EMG Signals 计算机科学, 2021, 48(6A): 317-320. https://doi.org/10.11896/jsjkx.200600021 |
[8] | 程铁军, 王曼. 基于变权组合的突发事件网络舆情趋势预测 Network Public Opinion Trend Prediction of Emergencies Based on Variable Weight Combination 计算机科学, 2021, 48(6A): 190-195. https://doi.org/10.11896/jsjkx.200600094 |
[9] | 石琳姗, 马创, 杨云, 靳敏. 基于SSC-BP神经网络的异常检测算法 Anomaly Detection Algorithm Based on SSC-BP Neural Network 计算机科学, 2021, 48(12): 357-363. https://doi.org/10.11896/jsjkx.201000086 |
[10] | 周俊, 尹悦, 夏斌. 基于LSTM神经网络的声发射信号识别研究 Acoustic Emission Signal Recognition Based on Long Short Time Memory Neural Network 计算机科学, 2021, 48(11A): 319-326. https://doi.org/10.11896/jsjkx.210700034 |
[11] | 焦东来, 王浩翔, 吕海洋, 徐轲. 基于手机传感器轨迹的路面地物检测方法 Road Surface Object Detection from Mobile Phone Based Sensor Trajectories 计算机科学, 2021, 48(11A): 283-289. https://doi.org/10.11896/jsjkx.210200145 |
[12] | 周立鹏, 孟利民, 周磊, 蒋维, 董建平. 基于BP神经网络的摔倒检测算法 Fall Detection Algorithm Based on BP Neural Network 计算机科学, 2020, 47(6A): 242-246. https://doi.org/10.11896/JsJkx.191000077 |
[13] | 宋岩, 胡瑢华, 郭福民, 袁新亮, 熊睿洋. 基于sEMG的改进SVM+BP肌力预测分层算法 Improved SVM+BP Algorithm for Muscle Force Prediction Based on sEMG 计算机科学, 2020, 47(6A): 75-78. https://doi.org/10.11896/JsJkx.190900143 |
[14] | 陈燕文,李坤,韩焱,王燕平. 基于MFCC和常数Q变换的乐器音符识别 Musical Note Recognition of Musical Instruments Based on MFCC and Constant Q Transform 计算机科学, 2020, 47(3): 149-155. https://doi.org/10.11896/jsjkx.190100224 |
[15] | 刘晓彤,王伟,李泽禹,沈思婉,姜小明. 基于改进BP神经网络的尿液中红白细胞识别算法 Recognition Algorithm of Red and White Cells in Urine Based on Improved BP Neural Network 计算机科学, 2020, 47(2): 102-105. https://doi.org/10.11896/jsjkx.191100195 |
|