A Survey of Methodologies for Protecting Privacy of User Data Within Enterprise Information Infrastructure

Author:

Manna Asmita1,Sengupta Anirban1,Mazumdar Chandan1

Affiliation:

1. Jadavpur University, India

Abstract

During recent years, especially after the introduction of data protection regulations by different countries, protecting the privacy of user data has become an important research topic. Different threads of information privacy research have emerged, particularly in the areas of eliciting privacy requirements, incorporating privacy by design, performing privacy impact assessments, developing privacy enhancement techniques, implementing those techniques for privacy compliance, verifying privacy compliance, etc. Privacy engineering is integral to all phases of data lifecycle, right from privacy requirement elicitation to compliance verification. This chapter covers a brief survey of notable privacy researches and models proposed for different phases of privacy engineering (i.e., privacy requirement engineering, privacy by design, privacy impact assessment, privacy compliance, and modeling approaches for privacy in enterprise infrastructure). Models and frameworks have been chosen based on the relevance of their applicability in modeling and implementing privacy within an enterprise.

Publisher

IGI Global

Reference59 articles.

1. Abe, A., & Simpson, A. (2016). Formal models for privacy. EDBT/ICDT Workshops.

2. Applying formal methods to detect and resolve ambiguities in privacy requirements;I.Agrafiotis;IFIP PrimeLife International Summer School on Privacy and Identity Management for Life,2010

3. Model-Based Privacy Analysis in Industrial Ecosystems

4. A model-based approach to support privacy compliance

5. Towards an Effective Privacy Impact and Risk Assessment Methodology: Risk Assessment

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3