Handling Web and Database Requests Using Fuzzy Rules for Anomaly Intrusion Detection | Science Publications

Journal of Computer Science

Selvamani Kadirvelu¹  Kannan Arputharaj¹ 

关键词: SQL anomaly detection;    fuzzy rule;    access control;    feedback propagation;    Intrusion Detection System (IDS);    anomaly detection system;    propagation algorithm;    encrypted data;    HTTP proxy;   

DOI  :  10.3844/jcssp.2011.255.261

学科分类：计算机科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: It is necessary to propose suitable detection and preventionmechanisms to provide security for the information contents used by the web application. Manyprevention mechanisms which are currently available are not able to classify anomalous, random andnormal request. This leads to the problem of false positives which is classifying a normal request asanomalous and denying access to information. Approach: In this study, we propose an anomalydetection system which will act as a Web based anomaly detector called intelligent SQL Anomalydetector and it uses decision tree algorithm and a feedback mechanism for effective classification.Results: This newly proposed and implemented technique has higher probability for reducing falsepositives which are the drawbacks in the earlier systems. Hence, our system proves that it detects allanomalies and shows better results when compared with the existing system. Conclusion: A refreshingtechnique to improve the detection rate of web-based intrusion detection systems by serially framing aweb request anomaly detector using fuzzy rules has been proposed and implemented and this systemproves to be more efficient then the existing earlier system when compared with the obtained results.

【 授权许可】

Unknown