Addressing MDX Injection issue in Big Data using ASCII Based String Matching
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 4
Abstract
MDX injection is one of the most threats for application written for Web. Big data is the ability of providing exponential growth and availability of data. Since the data in here are unstructured and therefore normal Query language prevention techniques are not enough for preventing MDX injection attack. Here I proposed a new technique that can address the issue efficiently using ASCII based String Matching algorithm. In this technique Detect Spiteful character, Constraint Validation, Query length validation and Text based Key Generator are the four types of filtration technique used to detect and prevent the Injection Attacks from accessing the database.
Authors and Affiliations
Y Meena Priyadarshini
Keywords
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