Self-Aware Message Validating Algorithm for Preventing XMLBased Injection Attacks

E. Uma and A. Kannan
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E. Uma: Department of Information Science and Technology Anna University Chennai-25, India
A. Kannan: Department of Information Science and Technology Anna University Chennai-25, India

International Journal of Technology and Engineering Studies, 2016, vol. 2, issue 3, 60-69

Abstract: In recent times, extensible markup languages are used broadly to provide platform independence. Since, it is more prone to injection attacks; it needs self-decisive algorithms for prevention. This self-aware message validating algorithm estimates the causes of incoming queries dynamically. The proposed algorithms have been tested and evaluated against various XML-based attacks. The conventional firewall and filters are lacking in the detection and prevention of the XML-based attacks due to the fact that these attacks contain huge volume of data and are cluttered in nature. Therefore, a new XML-based injection filter is proposed in this research work to prevent and detect the attacks. The results show that the algorithm is very robust against the attacks.

Keywords: XML; Web Services Security; Injection Attacks (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:apa:ijtess:2016:p:60-69

DOI: 10.20469/ijtes.2.40001-3

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