Earticle

초록

영어

The analysis of user behaviors has been an important subject in recommending research recently. This paper proposes a modified clustering technique, showing that users privacy disclosure may change when they are answering the information requests, and we argues that their attitudes, including risk, useful, appropriate, played an important role behind those changes. We presented the new data structure in our dataset that would be loaded to experiment, e.g. personal information requests, users’ answers to those requests, and most importantly, users cluster and attitude for later analysis. Our modified clustering technique would not only locate users privacy disclosure change by comparing the results from learning their past disclosure behaviors and from learning their current disclosures, but also exploit the relationship between the inconsistence in those two results and their attitudes. The data containing users’ answers to a questionnaire with personal information requests was integrated to analyze their disclosure behaviors and attitude with the proposed clustering technique. We indeed find some interesting connections between their privacy disclosure change and attitudes, and the exploration of this paper could benefit to any researchers and online community owners who focusing on user-centered strategies and personal-information-requesting issues.

목차

Abstract
 1. Introduction
 2. Background
 3. Model Implementation
  3.1. New Model Elements
  3.2. Clustering Method Implementation and Proposed Hypotheses
 4. Experiment
  4.1. Pre-study and Dataset Description
  4.2. Clustering Results and Discussion
 5. Conclusion and Future Work
 References

키워드

저자

• Hongchen Wu [ School of Computer Science and Technology Shandong University, Jinan 250101, China ]
• Xinjun Wang [ School of Computer Science and Technology Shandong University, Jinan 250101, China ] Corresponding author
• Zhaohui Peng [ School of Computer Science and Technology Shandong University, Jinan 250101, China ]
• Qingzhong Li [ School of Computer Science and Technology Shandong University, Jinan 250101, 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