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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

Summary

Inference is often used in profiling users to make decisions about products that may potentially interest them, their political persuasions to influence their voting, their sexual orientation, or any number of other very personal matters. By correlating multiple datasets, it becomes easier to build a complete picture of a person and it may even be possible to infer things about them that they don’t yet know themselves.

When someone is undecided about which of two products to buy or which political party to vote for, inference then becomes a very powerful tool, but perhaps isn’t entirely ethical. For example, this information can then be used to manipulate their decision with targeted messages based on prior knowledge of what can influence them. It is somewhat Machiavellian.

Inference may also be used in making automated decisions in the hiring process such as to filter CVs. In Europe, it is questionable whether this is legal because you could be unknowingly...

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