Growable Cyber-I’s Modeling with Increasing Personal Data

DONGMING, CHEN and JIANHUA, MA and RUNHE, HUANG and SONG, ZHANG (2015) Growable Cyber-I’s Modeling with Increasing Personal Data. In: International Conference on Advances in Computing, Control and Networking - ACCN 2015, 21 - 22 February 2015, Hotel Lebua at State Tower.

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Abstract

Cyber-Individual (Cyber-I), is a counterpart of Real-Individual (Real-I) in cyberspace, namely, a unique, digital and comprehensive description for a real individual. A Cyber-I is to gradually approximate to its Real-I by continuously collecting, processing and utilizing Real-I’s personal data. The personal data in terms of data types and data amount is continuously increasing due to widely use of smartphones, sensors, and other devices as well as software tools. Such personal data makes Cyber-I’s growable model possible. This paper is mainly focused on describing the initialization and growth of Cyber-I model. That is, how is a Cyber-I model initialized with the basic data generated at the Cyber-I birth stage and how can it grow with continuously collected incoming personal data to approximate to its Real-I’s states, behaviors and characteristics. In this paper, a system prototype for supporting the model initialization and growth is illustrated, and a case study for showing the growable modeling is given.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Cyber-I, Increasing personal data, growable modeling
Depositing User: Mr. John Steve
Date Deposited: 09 May 2019 11:44
Last Modified: 09 May 2019 11:44
URI: http://publications.theired.org/id/eprint/2107

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