Open AccessPrivacy Requirements Classification Method for System Design
Author(s) -
Azlina Mohamed Nor,
Norulzahrah Mohd Zainudin,
Noor Afiza,
Mashitah Che Razali,
Norshahriah Abdul Wahab
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.l1124.10812s219
Subject(s) - computer science , personally identifiable information , table (database) , perspective (graphical) , set (abstract data type) , information sensitivity , privacy by design , internet privacy , information privacy , computer security , data mining , artificial intelligence , programming language
It is important to get users’ privacy requirements through data or information classification during the system design. Currently, the citizen-centric perspective of privacy requirement is not well understood. To fill this gap a study with the objectives of to investigate citizens’ privacy requirements and need through their privacy preferences has been done. From the data analysis, the citizen-centric preferences’ set was developed based on the classification of personal and sensitive information that has been obtained through a survey of 350 respondents. The result is configured into a reference table and sensitivity classification tool respectively. Therefore, we suggested the tool to be used as a classifying method to classify sensitive and personal information for system design.