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Machine Learning Security Principles

You're reading from   Machine Learning Security Principles Keep data, networks, users, and applications safe from prying eyes

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Product type Paperback
Published in Dec 2022
Publisher Packt
ISBN-13 9781804618851
Length 450 pages
Edition 1st Edition
Languages
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Author (1):
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John Paul Mueller John Paul Mueller
Author Profile Icon John Paul Mueller
John Paul Mueller
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Table of Contents (19) Chapters Close

Preface 1. Part 1 – Securing a Machine Learning System
2. Chapter 1: Defining Machine Learning Security FREE CHAPTER 3. Chapter 2: Mitigating Risk at Training by Validating and Maintaining Datasets 4. Chapter 3: Mitigating Inference Risk by Avoiding Adversarial Machine Learning Attacks 5. Part 2 – Creating a Secure System Using ML
6. Chapter 4: Considering the Threat Environment 7. Chapter 5: Keeping Your Network Clean 8. Chapter 6: Detecting and Analyzing Anomalies 9. Chapter 7: Dealing with Malware 10. Chapter 8: Locating Potential Fraud 11. Chapter 9: Defending against Hackers 12. Part 3 – Protecting against ML-Driven Attacks
13. Chapter 10: Considering the Ramifications of Deepfakes 14. Chapter 11: Leveraging Machine Learning for Hacking 15. Part 4 – Performing ML Tasks in an Ethical Manner
16. Chapter 12: Embracing and Incorporating Ethical Behavior 17. Index 18. Other Books You May Enjoy

Considering hacker targets

One of the biggest issues to consider when thinking about hackers is that hackers don’t just attack your organization without reason. There is always a target and a motivation to attack a target. Otherwise, the hacker, just like anyone else, isn’t going to bother. The targets that a hacker chooses are the primary means of interaction with your organization rather than a secondary consideration. The hacker needs to see that the target can be easily accessed. In some cases, the attack almost becomes a game for the hacker, a kind of puzzle to solve. Yes, there are monetary or other reasons for the attack, but if you can get money out of any of a variety of targets, then the target itself must become part of the motivation for this particular attack. The following sections discuss some hacker targets that help demonstrate an attack pattern and a reason for choosing that particular target and not some other target in an organization.

Hosted systems...

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