Privacy Engineering Book

Privacy Engineering

A dataflow and ontological approach

An essential companion book for those of us who have to model systems from small mobile apps to large, cloudified BigData system from the perspective of privacy and personal data handling.

Available via Amazon (US, UK and all Amazon worldwide sites), CreateSpace and selected bookstores such as Barnes and Noble. Kindle version available, also with Kindle Match Book enabling you to the Kindle version for just 2.99USD when purchasing the paperback.

Table of Contents:

1. Introduction
2. Case Study
3. Privacy Engineering Process Structure
4. Data Flow Modelling
5. Security and Information Classifications
6. Additional Classification Structures
7. Requirements
8. Risk and Assessments
9. Notice and Consent
10. Privacy Enhancing Techniques
11. Auditing and Inspections
12. Developing a Privacy Programme

Information privacy is the major defining issue of today's Internet enabled World. To construct information systems from small mobile 'apps' to huge, heterogeneous, cloudified systems requires merging together skills from software engineering, legal, security and many other disciplines - including some outside of these fields! 

Only through properly modelling the system under development can we full appreciate the complexity of where personal data and information flows; and more importantly, effectively communicate this. This book presents an approach based upon data flow modelling, coupled with standardised terminological frameworks, classifications and ontologies to properly annotate and describe the flow of information into, out of and across these systems. 

Also provided are structures and frameworks for the engineering process, requirements and audits; and even the privacy programme itself, but takes a pragmatic approach and encourages using and modifying the tools and techniques presented as the local context and needs require.

Published July 2014

ISBN-13: 978-1497569713
ISBN-10: 1497569710
264 Pages, B/W on White Paper