Citation

Chan, Gaik-Yee and Lee, Chien-Sing and Heng, Swee-Huay (2013) PeANFIS-FARM Framework in defending against Web Service attacks. Advances in Intelligent Systems Research. pp. 108-112. ISSN 1951-6851

Text PeANFIS-FARM Framework in Defending against Web Service Attacks.pdf Restricted to Repository staff only Download (1MB)

Abstract

Internet-enabled Web Service (WS) applications, such as e-commerce, are facing eXtensible Markup Language (XML)-related security threats. However, network and host-based intrusion (ID) and prevention (IP) systems and Web Service Security (WSS) standards are inadequate in countering against these threats. This paper presents a framework to mitigate XML/SOAP attacks. Our framework comprises of two intelligent models: the policy-enhanced adaptive neuro-fuzzy inference system (PeANFIS) and fuzzy association rule mining (FARM) model. Performance evaluation of each model indicates detection rate of greater than 99% and false alarm rate of less than 1%. In this paper, we aim to help the security administrator to decide which model to implement depending on the context of the situation. We present rule-based cases as examples to guide design and implementation decisions. Our future work shall see the implementation of the PeANFIS-FARM framework on a wider scale and in cloud computing.

Item Type:	Article
Additional Information:	International Workshop on Cloud Computing and Information Security (CCIS 2013)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	08 Jul 2014 08:38
Last Modified:	08 Jul 2014 08:38
URII:	http://shdl.mmu.edu.my/id/eprint/5606

Downloads

Edit (login required)