SQL Injection Detection and Prevention using Machine Learning |
Author(s): |
| Neha Raghunath Hande , Modern Education Society's College of Engineering; Ankita Bhujabal, Modern Education Society's College of Engineering ; Pooja Maitri, Modern Education Society's College of Engineering; Akshata Dhiwar, Modern Education Society's College of Engineering |
Keywords: |
| Database, Cloud Computing, Naive Bayes, Network Security |
Abstract |
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Now a day's security is very important factor. Attacker uses structured Query Language Injection technique to attack different types of sites. There are different ways to attack sites. Now a day’s attacker uses Structured Query Language Injection technique in which they insert keywords or characters in the SQL statements. A machine learning technique gives exact result for test data. There are n number of attacks in which specific technique is not suitable. Naive Bayes is supervised machine learning algorithm which is used for classification. Naive Bayes classifiers are related to probabilistic classifiers which is depends on Bayes Theorem. There are two kinds of probabilities. One is prior probability and second one is posterior probability. The prior probability finds by using given training data sets. |
Other Details |
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Paper ID: IJSRDV6I10368 Published in: Volume : 6, Issue : 1 Publication Date: 01/04/2018 Page(s): 1583-1584 |
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