@inbook{e3a4c69148174937b30a4c22112d0b90,
title = "Intelligent Banking XML Encryption Using Effective Fuzzy Classification: From Online Radicalisation to Online Financial Crime",
abstract = "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.",
keywords = "XML encryption, fuzzy XML, fuzzy classification, XML security, banking security",
author = "Zhongyu Lu and Faisal Ammari and Maher Aburrous",
year = "2013",
month = nov,
day = "25",
language = "English",
isbn = "9780124114746",
volume = "1",
series = "Emerging Trends in Computer Science and Applied Computing",
publisher = "Morgan Kaufmann Publishers, Inc.",
pages = "591--618",
editor = "Babak Akhgar and Hamid Arabnia",
booktitle = "Emerging Trends in ICT Security",
address = "United States",
edition = "1",
}
