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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

3. of Inference

Your geolocation data is as accurate as possible, even if you only really need to know which city the user is from.

Threat

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If you are collecting the most detailed geo-location data, you should have a good reason for doing so, you should have communicated that reason to the subject, you should only collect it when it is necessary to collect it, and you should likewise only retain it for as long as is strictly necessary. If recorded continually and stolen, that data could be used to determine the daily routine of a subject, from which someone could infer any number of things including their beliefs if they visit a place of worship, their political affiliations, their medical situation, and so on.

GDPR

Chapter 1, Art. 4 – 4.

Chapter 2, Art. 5 – 1. (b)

Chapter 2, Art. 9 – 1.

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