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Intelligent Banking XML Encryption Using Effective Fuzzy Classification

Ammari, Faisal T., Lu, Joan and Aburrous, Maher (2014) Intelligent Banking XML Encryption Using Effective Fuzzy Classification. In: Emerging Trends in Information and Communication Technologies Security. Elsevier, London, UK, pp. 593-623. ISBN 9780124114746

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In this chapter we present a novel approach for securing financial XML transactions using an effective and intelligent fuzzy classification technique. Our approach defines the process of classifying XML content using a set of fuzzy variables. Upon fuzzy classification phase, a unique value is assigned to a defined attribute named "ImportanceLevel". Assigned value indicates the data sensitivity for each XML tag. The model also defines the process of securing classified financial XML message content by performing element-wise XML encryption on selected parts defined in fuzzy classification phase. Element-wise encryption is performed using symmetric encryption using AES algorithm with different key sizes. Key size of 128-bit is being used on tags classified with "Medium" importance level; a key size of 256-bit is being used on tags classified with "High" importance level. An implementation has been performed on a real-life environment using online banking system to demonstrate system efficiency. Our experimental results verified tangible enhancements in encryption efficiency, processing-time reduction, and resulting XML message sizes.

Item Type: Book Chapter
Subjects: Q Science > Q Science (General)
T Technology > T Technology (General)
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Faisal Ammari
Date Deposited: 05 Nov 2013 13:36
Last Modified: 28 Aug 2021 19:35


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