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Threat Modeling Gameplay with EoP

You're reading from   Threat Modeling Gameplay with EoP A reference manual for spotting threats in software architecture

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781804618974
Length 256 pages
Edition 1st Edition
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Author (1):
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Brett Crawley Brett Crawley
Author Profile Icon Brett Crawley
Brett Crawley
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Toc

Table of Contents (18) Chapters Close

Preface 1. Chapter 1: Game Play FREE CHAPTER 2. Chapter 2: Spoofing 3. Chapter 3: Tampering 4. Chapter 4: Repudiation 5. Chapter 5: Information Disclosure 6. Chapter 6: Denial of Service 7. Chapter 7: Elevation of Privilege 8. Chapter 8: Privacy 9. Chapter 9: Transfer 10. Chapter 10: Retention/Removal 11. Chapter 11: Inference 12. Chapter 12: Minimization 13. Glossary
14. Further Reading 15. Licenses for third party content 16. Index 17. Other Books You May Enjoy

Inference

The result of inference of personal data from other personal data, for example, through correlation, is still considered personal data. Knowing that two people frequently visit multiple locations at the same time and often leave at the same time can be an indicator that the two people know one another. Furthermore, if they often arrive and leave at the same time it could even be inferred that they were meeting at these locations.

Figure 11.1: From incomplete data you can infer the result

In this chapter, we’re going to look at the privacy regulations that should be observed with regard to inference by your systems.

As with the chapter on privacy, in this chapter and the other T.R.I.M. chapters, the references used will be to the GDPR, CCPA, CPRA, and OECD documents that have had a strong influence on shaping data privacy worldwide. In addition, this following document explains the relationship between the GDPR and artificial intelligence...

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