Earticle

초록

영어

Now most software systems in cloud platform use Multi - Tenancy architecture. A single software system serves for multiple client organization. All customers’ data will not be stored in only one node. So the system needs higher data security mechanism. This paper wants to build a data security monitoring model in cloud platform for large enterprises. The model can set the authentication, logging, fine-grained access control, dynamic data filtering strategy and data audit to realize the security protection for enterprises data. The model proposed by this paper uses multi-tenancy SaaS(Software as Service) application architecture, RBAC (Role-Based policies Access Control) model and operation in the context of environmental perception to realize the data access control. It using PMI framework to provide accession management services for enterprise users.

목차

Abstract
 1. Introduction
 2. Cloud Computing
 3. Critical Idea and Technology
  3.1. Principles that Need by the Research
  3.2. Technical Directions
 4. The Basic Structure of the Data Safety Monitoring Model in Cloud Environment
  4.1. Logical Structure
  4.2. Functional Structure
 5. Solutions of Data Security Monitoring Platform for Enterprise based on SaaS
  5.1. RBAC based on Artificial Neural Network
  5.2. Context-aware Modeling Based on Ontology
  5.3. Multi-attribute Data Filtering based on Rough Set
  5.4. Multi-dimensional Association Rule Mining Algorithm for Audit Analysis
 6. Algorithm Implementation
 7. Summary
 References

키워드

저자

• Geng Yushui [ School of Information, Qi Lu University of Technology Jinan250353, China ]
• Pang Shunpeng [ School of Information, Qi Lu University of Technology Jinan250353, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605