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Secured web application using combination of Query Tokenization and Adaptive Method in preventing SQL Injection Attacks

机译:结合使用查询令牌化和自适应方法的安全Web应用程序,可防止SQL注入攻击

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SQL Injection Attacks (SQLIAs) become a major issue nowadays which open opportunities for unrestricted access to the database that underlie web applications. The purpose of this research is to develop a multi-level prevention techniques in order to cater the SQLIAs. The proposed prevention technique combines Query Tokenization and Adaptive Method that will be implemented on multiple platforms that using asp.net programming language. This technique was tested using 5 test cases to ensure it effectiveness. The outcome of this project is frameworks of prevention technique that can be used for other developer to make sure their web application being secured and avoid the hackers exploit the databases by using SQL injection.
机译:如今,SQL注入攻击(SQLIA)成为一个主要问题,这为不受限制地访问作为Web应用程序基础的数据库提供了机会。这项研究的目的是开发一种多层次的预防技术,以满足SQLIA的需要。所提出的预防技术结合了查询标记化和自适应方法,这些方法将在使用asp.net编程语言的多个平台上实现。使用5个测试用例对该技术进行了测试,以确保其有效性。该项目的结果是预防技术框架,该框架可用于其他开发人员,以确保其Web应用程序受到保护,并避免黑客通过使用SQL注入来利用数据库。

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