Classification of SQL Injection Attacks Using Fuzzy Tainting

dc.contributor.authorKhanna, Surya
dc.contributor.supervisorVerma, A. K.
dc.date.accessioned2016-08-10T10:58:29Z
dc.date.available2016-08-10T10:58:29Z
dc.date.issued2016-08-10
dc.description.abstractThe interactive websites/applications involving database services need to assure the confidentiality, integrity and availability of data. They face a dire threat in the name of SQL Injection. A SQL injection attack is an act of manipulating the input data at the client end in order to perform an illegal operation on the database of targeted online system. They enable the attackers to obtain unrestricted access to potentially sensitive information. This may jeopardize the security of Web sites/applications, which may consequently lead to loss of users/customers trust. This report presents a SQL injection (SQLI) threat level indicator based on fuzzy logic for handling SQL injection attacks. The fuzzy tainting approach helped ruling out the possibilities of false positives.en_US
dc.identifier.urihttp://hdl.handle.net/10266/4061
dc.language.isoenen_US
dc.subjectfuzzy logicen_US
dc.subjectSQL Injectionen_US
dc.subjectthreat level indicatoren_US
dc.subjectWeb securityen_US
dc.titleClassification of SQL Injection Attacks Using Fuzzy Taintingen_US
dc.typeThesisen_US

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