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Threat Modeling Gameplay with EoP

Threat Modeling Gameplay with EoP

By : Brett Crawley
4.9 (7)
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Threat Modeling Gameplay with EoP

Threat Modeling Gameplay with EoP

4.9 (7)
By: Brett Crawley

Overview of this book

Are you looking to navigate security risks, but want to make your learning experience fun? Here's a comprehensive guide that introduces the concept of play to protect, helping you discover the threats that could affect your software design via gameplay. Each chapter in this book covers a suit in the Elevation of Privilege (EoP) card deck (a threat category), providing example threats, references, and suggested mitigations for each card. You’ll explore the methodology for threat modeling—Spoofing, Tampering, Repudiation, Information Disclosure, and Elevation of Privilege (S.T.R.I.D.E.) with Privacy deck and the T.R.I.M. extension pack. T.R.I.M. is a framework for privacy that stands for Transfer, Retention/Removal, Inference, and Minimization. Throughout the book, you’ll learn the meanings of these terms and how they should be applied. From spotting vulnerabilities to implementing practical solutions, the chapters provide actionable strategies for fortifying the security of software systems. By the end of this book, you will be able to recognize threats, understand privacy regulations, access references for further exploration, and get familiarized with techniques to protect against these threats and minimize risks.
Table of Contents (18 chapters)
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13
Glossary
14
Further Reading
15
Licenses for third party content

10. of Inference

You do not make any checks on personal data before you use it for training machine learning models.

Threat

image

You are not checking personal data before using it in training, so you cannot expect your model to be accurate. Therefore, some of the decisions it will make will also not be accurate, which implies it may unfairly make decisions about a subject, such as mortgage approvals/refusals. A requirement of many data privacy regulations is that the data be kept accurate. It is also possible that an attacker may modify the data deliberately to poison the model and you could be leaving yourself open to injection attacks.

GDPR

Chapter 2, Art. 5 – 1.(d)

Chapter 2, Art. 5 – 1.(f)

CCPA & CPRA

N/A

OECD

...

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