idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data mining

idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data mining

Article history: Available online xxxx

Detection Block Model for SQL Injection Attacks

With the rapid development of Internet, more and more organizations connect their databases to the Internet for resource sharing. However, due to developers' lack of knowledge of all possible attacks, web applications become vulnerable to multiple attacks. Thus the network databases could face multiple threats. Web applications generally consist of a three tier architecture where database is in...

SQL Injection Evasion Detection

Data-mining based SQL injection attack detection using internal query trees

Detecting SQL injection attacks (SQLIAs) is becoming increasingly important in database-driven web sites. Until now, most of the studies on SQLIA detection have focused on the structured query language (SQL) structure at the application level. Unfortunately, this approach inevitably fails to detect those attacks that use already stored procedure and data within the database system. In this pape...

Anomaly Detection and SQL Prepare Data Sets for Data Mining

Anomaly detection has been an important research topic in data mining and machine learning. Many real-world applications such as intrusion or credit card fraud detection require an effective and efficient framework to identify deviated data instances. However, most anomaly detection methods are typically implemented in batch mode, and thus cannot be easily extended to large-scale problems witho...