Intelligent Banking XML Encryption Using Effective Fuzzy Classification

From Online Radicalisation to Online Financial Crime

Zhongyu Lu, Faisal Ammari, Maher Aburrous

Research output: Chapter in Book/Report/Conference proceedingChapter

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.
Original languageEnglish
Title of host publicationEmerging Trends in ICT Security
EditorsBabak Akhgar, Hamid Arabnia
PublisherMorgan Kaufmann Publishers, Inc.
Chapter37
Pages591-618
Number of pages28
Volume1
Edition1
ISBN (Electronic)9780124104877
ISBN (Print)9780124114746
Publication statusPublished - 25 Nov 2013

Publication series

NameEmerging Trends in Computer Science and Applied Computing
PublisherElsevier

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Crime
XML
Cryptography
Online systems
Processing

Cite this

Lu, Z., Ammari, F., & Aburrous, M. (2013). Intelligent Banking XML Encryption Using Effective Fuzzy Classification: From Online Radicalisation to Online Financial Crime. In B. Akhgar, & H. Arabnia (Eds.), Emerging Trends in ICT Security (1 ed., Vol. 1, pp. 591-618). (Emerging Trends in Computer Science and Applied Computing). Morgan Kaufmann Publishers, Inc..
Lu, Zhongyu ; Ammari, Faisal ; Aburrous, Maher. / Intelligent Banking XML Encryption Using Effective Fuzzy Classification : From Online Radicalisation to Online Financial Crime. Emerging Trends in ICT Security. editor / Babak Akhgar ; Hamid Arabnia. Vol. 1 1. ed. Morgan Kaufmann Publishers, Inc., 2013. pp. 591-618 (Emerging Trends in Computer Science and Applied Computing).
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Lu, Z, Ammari, F & Aburrous, M 2013, Intelligent Banking XML Encryption Using Effective Fuzzy Classification: From Online Radicalisation to Online Financial Crime. in B Akhgar & H Arabnia (eds), Emerging Trends in ICT Security. 1 edn, vol. 1, Emerging Trends in Computer Science and Applied Computing, Morgan Kaufmann Publishers, Inc., pp. 591-618.

Intelligent Banking XML Encryption Using Effective Fuzzy Classification : From Online Radicalisation to Online Financial Crime. / Lu, Zhongyu; Ammari, Faisal; Aburrous, Maher.

Emerging Trends in ICT Security. ed. / Babak Akhgar; Hamid Arabnia. Vol. 1 1. ed. Morgan Kaufmann Publishers, Inc., 2013. p. 591-618 (Emerging Trends in Computer Science and Applied Computing).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Lu Z, Ammari F, Aburrous M. Intelligent Banking XML Encryption Using Effective Fuzzy Classification: From Online Radicalisation to Online Financial Crime. In Akhgar B, Arabnia H, editors, Emerging Trends in ICT Security. 1 ed. Vol. 1. Morgan Kaufmann Publishers, Inc. 2013. p. 591-618. (Emerging Trends in Computer Science and Applied Computing).