Earticle

초록

영어

Data mining is the process of extracting information from data warehousing applications. Data outsourcing is the major task in present days, for accessing services and other features of the database processing. But sometimes this process may achieve to split among various parties with recommended data items in analyzing of the data. Data security is one of the key processes in outsourcing data to various outside users. Traditionally Fast Distribution Mining algorithm was proposed for securing distributed data. This paper addresses a problem by secure association rules over partitioned data in both horizontal and vertical representation. A secure frequency developed algorithm is used for doing above process efficiently in partitioned data, which includes services of the data in outsourcing process. Frequent item sets are used to access services in outsourcing data in recent application development data mining. Our proposed work maintains efficient security over vertical and horizontal view of representation in secure mining applications. The result shows that algorithm timing is desirable for big size data for security considerations using association rule mining operations in real time application development.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Background Work
 4. Proposed Methodology
  4.1. Processing State
  4.2. Secure Association Rule Mining Over Vertical Data Partitioned Data Bases
  4.3. Secure Association Rule Mining Over Horizontal Data Partitioned Database
 5. Results and Analysis
  5.1. Secure Frequency Counting Protocol
 6. Conclusion
 References

키워드

저자

• V. Sujatha [ Department of Computer Science and Engineering, Vignan’s Nirula ITW Palakaluru, Guntur, AP, India ]
• Debnath Bhattacharyya [ Department of Computer Science and Engineering, Vignan’s Institute of Information Technology, Duvvada, Visakhapatnam, India ]
• P. Silpa Chaitanya [ Department of Computer Science and Engineering, Vignan’s Nirula ITW Palakaluru, Guntur, AP, India ]
• Tai-hoon Kim [ Department of Convergence Security, Sungshin Women's University, 249-1, Dongseon-dong 3-ga, Seoul, 136-742, Korea ] Corresponding Author

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