Abstract

The purpose of this literature review is to provide the information about illustrating the usage of Multi-Agent System (MAS) techniques that can be beneficial in cloud computing platform to facilitate security of cloud data storage (CDS) among it. MAS are often distributed and agents have proactive and reactive features which are very useful for cloud data storage security (CDSS). The architecture of the system is formed from a set of agent’s communities. This paper of literature review described on the theoretical concept and approach of a security framework as well as a MAS architecture that could be implemented in cloud platform in order to facilitate security of CDS, on how the MAS technology could be utilized in a cloud platform for serving the security that is developed by using a collaborative environment of Java Agent DEvelopment (JADE). In order to facilitate the huge amount of security, our MAS architecture offered eleven security attributes generated from four main security policies of correctness, integrity, confidentially and availability of users’ data in the cloud. This paper of literature review also describes an approach that allows us to build a security cloud platform using MAS architecture and this architecture tends to use specialized autonomous agents for specific security services and allows agents to interact to facilitate security of CDS.

Highlights

  • The use of agent in security engineering is still in its infancy

  • In our Multi-Agent System (MAS) architecture, we proposed five types of agents User Interface Agent (UIA), User Agent (UA), DER Agent (DERA), Data Retrieval Agent (DRA) and Data Distribution Preparation Agent (DDPA)

  • We believe that cloud data storage security (CDSS) in Cloud Computing, an area full of challenges and of paramount importance, is still in its infancy and many research problems are yet to be identified

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Summary

Introduction

The use of agent in security engineering is still in its infancy. To compound matters, security concerns in the MAS domain have not been emphasized in a scale compatible with its widespread academic research. The ultimate challenge in cloud computing is data-level security, and sensitive data is the domain of the enterprise, not the CSP. With data-level security, the enterprise can specify that this data is not allowed to go outside of the specific cloud server. It can force encryption of certain types of data, and permit only specified users to access the data (John et al, 2010). There are more and more CDS platforms, e.g., Amazon S, HDFS, Sun Network.com, CloudNAS, Data ONTAP, SkyDrive, FileStore, EMC Atoms, HP Upline, Hitachi Content Platform, GFS, KFS, Open Source Cloud Computing Environment (OSCCE) in University Putra Malaysia UPM (in which our security framework could be test and validate), etc

Structure of Literature Review
Search Strategy
Cloud Computing
Multi-Agent System
Cloud Data Storage
Cloud Data Storage System
Cloud Data Storage Security
Overview OF Security Framework
Overview of Multi Agent System Architecture
DDPA Architecture
UA Architecture
DERA Architecture
Results of Literature Review
Conclusions
Full Text
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