SQL-Injection Vulnerability Analysis Using Machine Learning Technique
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2015, Vol 2, Issue 6
Abstract
Internet may be the supreme supply of data, data is situated in distinct data format and can be accessible everywhere you go, consumer will get connection together with web by way of request covering available as GUI screen, signifies Net is accessible through the use of browser in which consumer might feed his/her data pertaining to authentication in case required through request. Seeing that on view natural environment involving web connection and design development, distinct authentication mechanism, security password safety and an incredible number of protection treatments have been made to defend the approval via unauthorized entry but still crooks are aimed towards distinct ways to break the actual protection, it may be through hit and walk methods, through infecting computer system, through surging computer system, But within the actual suggest cardstock a fresh strategy have been offered to get SQL-Injection being exposed, in case offered in user’s suggestions, the item assessments dilemma personal, finger prints and mapping blend to help think any intruding activities throughout the process, This suggest strategy is simple to use, since it simply desires fingerprinting and mapping paradigm involving dilemma and all too easy to change, in case new personal is found, instead of positioning any overhead within the existing doing work process.
Authors and Affiliations
Gunjan Shukla
Keywords
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