Anne Kayem is an Associate Professor in Cyber-Security and leads the Privacy AnaLytics (PAL) research Group at the University of Exeter. She holds a PhD in Computer Science obtained from Queen's University, Canada in 2009. She is an internationally recognised expert in the field of digital privacy focusing specifically on algorithms for data transformation to support privacy preserving machine learning and data analytics. She has written and edited several books about cyber-security and privacy notably on Access Control, Information Security, Secure micro-grids, and more recently on Digital Privacy. She is a senior member of the ACM and IEEE.

• Part I Overview.- Chapter 1 Introduction.- Part II Data De-Anonymisation.- Chapter 2 De-Anonymisation Mechanisms - An Overview.- Part III Anonymisation Approaches,- Chapter 3 Multi-Objective Anonymisation.- Chapter 4 High-Dimensional Data - Privacy Considerations.- Chapter 5 Accounting for User Privacy Preferences.- Part IV Usable Privacy - A Discussion.- Chapter 6 Privacy Recommender Systems.- Chapter 7 Identifying Personal Information in Textual Data.- Part V Conclusions and Future Work.- Chapter 8 Conclusions.- Appendix 1.- Appendix 2.- Glossary.- Index.

Anne Kayem is an Associate Professor in Cyber-Security and leads the Privacy AnaLytics (PAL) research Group at the University of Exeter. She holds a PhD in Computer Science obtained from Queen's University, Canada in 2009. She is an internationally recognised expert in the field of digital privacy focusing specifically on algorithms for data transformation to support privacy preserving machine learning and data analytics. She has written and edited several books about cyber-security and privacy notably on Access Control, Information Security, Secure micro-grids, and more recently on Digital Privacy. She is a senior member of the ACM and IEEE.

• Part I Overview.- Chapter 1 Introduction.- Part II Data De-Anonymisation.- Chapter 2 De-Anonymisation Mechanisms - An Overview.- Part III Anonymisation Approaches,- Chapter 3 Multi-Objective Anonymisation.- Chapter 4 High-Dimensional Data - Privacy Considerations.- Chapter 5 Accounting for User Privacy Preferences.- Part IV Usable Privacy - A Discussion.- Chapter 6 Privacy Recommender Systems.- Chapter 7 Identifying Personal Information in Textual Data.- Part V Conclusions and Future Work.- Chapter 8 Conclusions.- Appendix 1.- Appendix 2.- Glossary.- Index.

Anne Kayem is an Associate Professor in Cyber-Security and leads the Privacy AnaLytics (PAL) research Group at the University of Exeter. She holds a PhD in Computer Science obtained from Queen's University, Canada in 2009. She is an internationally recognised expert in the field of digital privacy focusing specifically on algorithms for data transformation to support privacy preserving machine learning and data analytics. She has written and edited several books about cyber-security and privacy notably on Access Control, Information Security, Secure micro-grids, and more recently on Digital Privacy. She is a senior member of the ACM and IEEE.

• Part I Overview.- Chapter 1 Introduction.- Part II Data De-Anonymisation.- Chapter 2 De-Anonymisation Mechanisms - An Overview.- Part III Anonymisation Approaches,- Chapter 3 Multi-Objective Anonymisation.- Chapter 4 High-Dimensional Data - Privacy Considerations.- Chapter 5 Accounting for User Privacy Preferences.- Part IV Usable Privacy - A Discussion.- Chapter 6 Privacy Recommender Systems.- Chapter 7 Identifying Personal Information in Textual Data.- Part V Conclusions and Future Work.- Chapter 8 Conclusions.- Appendix 1.- Appendix 2.- Glossary.- Index.