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https://hdl.handle.net/2440/83932
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Type: | Conference paper |
Title: | Detecting occasional reputation attacks on cloud services |
Author: | Noor, T. Sheng, Q. Alfazi, A. |
Citation: | Web Engineering 13th International Conference, ICWE 2013, Aalborg, Denmark, July 8-12, 2013, Proceedings / F. Daniel, P. Dolog Q. Li (eds):: pp.416-423 |
Publisher: | Springer |
Publisher Place: | Germany |
Issue Date: | 2013 |
Series/Report no.: | Lecture Notes in Computer Science; 7977 |
ISBN: | 9783642391996 |
ISSN: | 0302-9743 1611-3349 |
Conference Name: | International Conference on Web Engineering (13th : 2013 : Aalborg, Denmark) |
Statement of Responsibility: | Talal H. Noor, Quan Z. Sheng, and Abdullah Alfazi |
Abstract: | Cloud service consumers' feedback is a good source to assess the trustworthiness of cloud services. However, it is not unusual that a trust management system experiences malicious behaviors from its users. Although several techniques have been proposed to address trust management in cloud environments, the issue of how to detect occasional reputation attacks on cloud services is still largely overlooked. In this paper, we introduce an occasional attacks detection model that recognizes misleading trust feedbacks from occasional collusion and Sybil attacks and adjusts trust results for cloud services that have been affected by these malicious behaviors. We have collected a large collection of consumer's trust feedbacks given on real-world cloud services (over ten thousand records) to evaluate and demonstrate the applicability of our approach and show the capability of detecting such malicious behaviors. © 2013 Springer-Verlag Berlin Heidelberg. |
Keywords: | Trust Management Cloud Computing Occasional Attacks Attacks Detection. |
Rights: | ©Springer-Verlag Berlin Heidelberg 2013 |
DOI: | 10.1007/978-3-642-39200-9_35 |
Published version: | http://dx.doi.org/10.1007/978-3-642-39200-9_35 |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
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