Intelligent Banking XML Encryption Using Effective Fuzzy Logic

Faisal T. Ammari, J. Lu, Maher Aburrous

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)


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. A 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 an online banking system to demonstrate system efficiency. Our experimental results verified tangible enhancements in encryption efficiency, processing-time reduction, and resulting XML message sizes.

Original languageEnglish
Title of host publicationEmerging Trends in ICT Security
PublisherElsevier Inc.
Number of pages27
ISBN (Print)9780124114746
Publication statusPublished - 1 Nov 2013


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