Design and Development of Policy Enforcement for the Privacy by Design Framework

被引：0
作者：
Lescisin, Michael [1 ]
Mahmoud, Qusay H. [1 ]
机构：
[1] Ontario Tech Univ, Dept Elect Comp & Software Engn, Oshawa, ON L1G 0C5, Canada
来源：
2023 20TH ACS/IEEE INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS AND APPLICATIONS, AICCSA | 2023年
关键词：
privacy by design; code tracing; data tracing; privacy; programming languages; security;
D O I：
10.1109/AICCSA59173.2023.10479230
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Privacy by Design (PbD) is a set of guiding principles for providing stronger guarantees of privacy protection in systems that handle sensitive information. In this paper, we present the design and development of PbD constructs with a proof of concept prototype in Python, where data variables are tagged with information describing their privacy requirements while common methods are augmented with privacy requirement checking code. With these additions, we demonstrate how the task of writing Privacy by Design compliant code is greatly simplified.
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