Earticle

초록

영어

This study introduces a new method to detect the Intrusion attacks on web services using XML similarity classifiers. First, pre-process methods are employed to distinguish the requests both based on the structure and content. WSDL description of the web service is employed to determine the valid structure of a request. A sequential threshold method is employed to define a request as an intrusion. Moreover, an optimized semantic similarity algorithm is employed to define the discrepancy between the contest of the request and the database of normal requests. Evaluation results are conducted based on various methods and algorithm which were presented in academia. The final section presents the promising way with the highest accuracy.

목차

Abstract
 1. Introduction
 2. WS Different Kinds of Attacks and Vulnerabilities
 3. Pre-Process Validation
 4. DOS Attack Prevention Using WSDL Description
 5. Anomaly Detection Using XML Similarity
 6. XML Similarity Measurement
 7. Structure Similarity Measure
 8. Content Similarity
 9. TF-IDF Information Retrieval
 10 . Optimized LSA
 11. Serial Multiple Threshold Approach
 12. Results and Implementations
 13. Conclusions
 References

키워드

저자

• Mahdi Bazarganigilani [ Faculty of Business, Charles Sturt University Melbourne, Australia. ]
• Belinda Fridey [ Faculty of Business, Charles Sturt University Melbourne, Australia. ]
• Ali Syed [ Faculty of Business, Charles Sturt University Melbourne, Australia. ]

참고문헌

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간행물

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• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605