A reliable recommendation and privacy-preserving based cross-layer reputation mechanism for mobile cloud computing |
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| Affiliation: | 1. Fujian Provincial Key Laboratory of Network Security and Cryptology, School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, China;2. School of Computer Science and Software Engineering, University of Wollongong, Wollongong, NSW 2522, Australia;1. Department of Hematology, Singapore General Hospital, Singapore;2. Raffles Cancer Centre, Raffles Hospital, Singapore;3. Department of Pathology, Singapore General Hospital, Singapore;4. Biostatistics Unit, Yong Loo Lin School of Medicine, National University of Singapore, Singapore;5. Medical Oncology, National Cancer Centre of Singapore, Singapore;6. Sime Darby Medical Centre, Selangor, Malaysia;7. Hospital Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia;8. Samsung Medical Centre, Seoul, South Korea;1. Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA;2. KINDI Center for Computing Research, Qatar University, Doha, Qatar;3. Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND 58108-6050, USA;4. Department of Computer Science, State University of New York, New Paltz, NY 12561, USA;5. School of Information Technologies, The University of Sydney, Sydney, NSW 2006, Australia;1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China;2. Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, Shanghai 200237, China;3. School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China |
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| Abstract: | Mobile cloud computing (MCC) is gaining popularity due to anywhere anytime data access. However, at the same time it also introduces the new privacy and security threats that have become an obstacle to the widespread use and popularity of MCC. In this paper, we propose a reliable recommendation and privacy preserving based cross-layer reputation mechanism (RP-CRM) to provide secure and privacy-aware communication process in wireless mesh networks (WMNs) based MCC (WM-MCC). RP-CRM integrates the cross-layer design with recommendation reputation reliability evaluation mechanism and the privacy preserving scheme to identify and manage the internal malicious nodes and protect the security and privacy against internal multi-layer attack, bad mouthing attack and information disclosure attack. Simulation results and performance analysis demonstrate that RP-CRM can provide rapid and accurate malicious node identification and management, and provide security and privacy protection against aforementioned attacks more effectively and efficiently. |
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| Keywords: | Mobile cloud computing Security Privacy preserving Reputation mechanism |
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