A Novel Method to Detect and Prevent SQLIA Using Ontology to Cloud Web Security
- 28 March 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Wireless Personal Communications
- Vol. 117 (4), 2995-3014
- https://doi.org/10.1007/s11277-020-07243-z
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Predicting SQL injection and cross site scripting vulnerabilities through mining input sanitization patternsInformation and Software Technology, 2013
- idMAS-SQL: Intrusion Detection Based on MAS to Detect and Block SQL injection through data miningInformation Sciences, 2013
- A Hot Query Bank approach to improve detection performance against SQL injection attacksComputers & Security, 2011
- Basis for an integrated security ontology according to a systematic review of existing proposalsComputer Standards & Interfaces, 2011
- CANDIDACM Transactions on Information and System Security, 2010
- Vulnerability Analysis of Web-based ApplicationsPublished by Springer Science and Business Media LLC ,2007
- The essence of command injection attacks in web applicationsACM SIGPLAN Notices, 2006
- Web Attack Detection Using ID3Published by Springer Science and Business Media LLC ,2006
- A Learning-Based Approach to the Detection of SQL AttacksLecture Notes in Computer Science, 2005
- Web-based marketing: The coming revolution in marketing thought and strategyJournal of Business Research, 2004