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.
- Case Study
- Privacy Engineering Process Structure
- Data Flow Modelling
- Security and Information Classifications
- Additional Classification Structures
- Risk and Assessments
- Notice and Consent
- Privacy Enhancing Techniques
- Auditing and Inspections
- Developing a Privacy Programme
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.