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Johnson, M., Chang, P., Jeffers, R., Bradshaw, J.M., Soo, V.W., Breedy, M.R., Bunch, L., Kulkarni, S., Lott, J. and Suri, N. (2003) KAoS Semantic Policy and Domain Services: An Application of DAML to Web Services-Based Grid Architectures. Proceedings of the AAMAS, Melbourne, 14-18 July 2003.

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• TITLE: Ensuring Security, Confidentiality and Fine-Grained Data Access Control of Cloud Data Storage Implementation Environment

  AUTHORS: Amir Mohamed Talib

  KEYWORDS: Cloud Computing, Cloud Data Storage, Cloud Service Provider, Formula-Based Cloud Data Access Control, Multi-Agent System and Secure Java Agent Development Framework

  JOURNAL NAME: Journal of Information Security, Vol.6 No.2, April 16, 2015

  ABSTRACT: With the development of cloud computing, the mutual understandability among distributed data access control has become an important issue in the security field of cloud computing. To ensure security, confidentiality and fine-grained data access control of Cloud Data Storage (CDS) environment, we proposed Multi-Agent System (MAS) architecture. This architecture consists of two agents: Cloud Service Provider Agent (CSPA) and Cloud Data Confidentiality Agent (CDConA). CSPA provides a graphical interface to the cloud user that facilitates the access to the services offered by the system. CDConA provides each cloud user by definition and enforcement expressive and flexible access structure as a logic formula over cloud data file attributes. This new access control is named as Formula-Based Cloud Data Access Control (FCDAC). Our proposed FCDAC based on MAS architecture consists of four layers: interface layer, existing access control layer, proposed FCDAC layer and CDS layer as well as four types of entities of Cloud Service Provider (CSP), cloud users, knowledge base and confidentiality policy roles. FCDAC, it’s an access policy determined by our MAS architecture, not by the CSPs. A prototype of our proposed FCDAC scheme is implemented using the Java Agent Development Framework Security (JADE-S). Our results in the practical scenario defined formally in this paper, show the Round Trip Time (RTT) for an agent to travel in our system and measured by the times required for an agent to travel around different number of cloud users before and after implementing FCDAC.