Information Assurance Seminar
Cyber-I Privacy Model: Towards Approximating and Adapting to Individual Privacy Preferences

Runhe Huang, Ph.D.
Professor, Faculty of Computer and Information Sciences
Hosei University, Tokyo, Japan

Friday, October 10, 2014
1:30–2:30 p.m.
Brickyard (BYENG) 210, Tempe campus [map]
699 South Mill Avenue, Tempe, Arizona

Abstract
Cyber-I (or Cyber-Individual) is a digital clone of a real person (Real-I), which is continuously approximating to the Real-I. It was proposed in 2009 and a research team led by Jianhua Ma has been working on its conceptual definitions and system designs [1]. After a brief introduction of the concept of Cyber-I, this talk will focus on one of the challenging issues: privacy of personal data. In this talk, a Cyber-I privacy model which is a systematic description of a Real-I’s privacy preferences and needs will be presented. Our preliminary effort has been put on the following three aspects: a generic privacy preference setting based on a Real-I’s personal inputs and Cyber-I model; a dynamic awareness mechanism of the Real-I’s real privacy concerns in using different applications; and a semi-automatic adaptation mechanism of the Real-I’s personal data access policy, and control based on the dynamic awareness. The Cyber-I privacy model as a subset model of Cyber-I is the key to this research, and the significant advantages of this approach is twofold: able to adapt to a Real-I’s changing preferences for different applications; and able to continuously approximating a Real-I’s generic privacy preferences along lifetime. Finally, Runhe Huang will address some challenging issues and seek for some potential collaborations regarding further R&D on Cyber-I.

*Jianhua Ma, Jie Wen, Runhe Huang, and Benxiong Huang, “Cyber-Individual Meets Brain Informatics”, IEEE Intelligent Systems, Special Issue on Brain Informatics, Vol.26, No.5, pp. 30-37, September/October 2011. Introduced in IEEE Computing Now, “Cyber-Individual Meets Brain Informatics with an Open Access”, November, 2011.

Bio
Runhe Huang is currently a professor in Faculty of Computer and Information Sciences, Hosei University in Japan. She received her B.Sc. in Electronics Technology from National University of Defense Technology, China, in 1982 and Ph.D. in Computer Science and Mathematics from the University of the West of England, UK, in 1993. She worked in the University of Aizu, Japan, during 1993-1999. She has been on the faculty of Hosei University since 2000. Her current research interests include distributed and ubiquitous intelligence computing, big data mining and service computing, Cloud Computing, and Hyper-world Modeling and Intelligence. Her home page is http://cis.k.hosei.ac.jp/en/info/faculty/computer/huang.html

This seminar is open to public.

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