Earticle

초록

영어

Currently, the usage of social networking sites are increasing rapidly. Social networks are used to connect people, share information between users and maintain relation between friends. Hundreds of thousands of people are using these social networking services like Facebook, twitter etc., User security is the main aspect in present days from person to person interaction. There is a major task of online social network is information filtering. An online social network provides the little support for allowing sharing the information on the user walls. In this paper we propose to introduce efficient user security mechanism in transmission of messages from one user to another user. So we describe to develop methodology called machine learning algorithm called decision tree algorithm for security in their user walls. Our experimental results show efficient learning process in extracting feedback process generation in customized system operations in online social networks. In this we also consider the functionalities of each user in relevant data sharing of social networks.

목차

Abstract
 1. Introduction
  1.1. Privacy in a Connected World - Data Mining in Social Networks
  1.2. Security
 2. Previous Works
 3. Proposed System
  3.1. Decision Tree
  3.2. Decision Tree Algorithm
 4. Result and Analysis
 5. Conclusion
 References

키워드

저자

• Venkata Naresh Mandhala [ Information Technology Department, VFSTR University, Vadlamudi-522213, Guntur, India ]
• Debnath Bhattacharyya [ Department of Computer Application,RCC Institute of Information Technology, Kolkata-700015, India ]
• Tai-hoon Kim [ Department of Convergence Security, Sungshin Women's University ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605