Earticle

초록

영어

The process of transferring data within any physical environment is highly vulnerable and liable to face many security issues leading to sniffing of highly confidential data by any of the prevalent cyber attacks. Presently, there are various classic data retrieving methodologies such as CASE, PIVOT and SJP within a physical environment. However, these methods are not completely fail proof against unauthorized data retrieval. This paper aims to implement the concept of Knowledge Cube generation for securely transfer data with the help of Horizontal Aggregation method in virtual environment. The concept of ‘Knowledge Cube’ is referred as a multidimensional model composing of cubes and dimensions, which can be further interpreted so as to execute complex queries during any data retrieval process in both physical and virtual environment.

목차

Abstract
 1. Introduction
 2. Existing System
  2.1. Issues in the Existing System
 3. Proposed System
  3.1. Architecture and Design of Proposed System
 4. Implementation
  4.1. Knowledge Cube Generation
  4.2. MDX Query Check
  4.3. Performance Comparison and Evaluation
 5. Conclusion
 References

키워드

저자

• Anand. R [ Research Scholar, Computer Science And Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamilnadu, India ]
• Dr. S. Saraswathi [ Information Technology, Pondicherry Engineering College, Pondicherry, India ]

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