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Data Privacy Walter Rocchi

(ebook) (audiobook) (audiobook) Język publikacji: angielski
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Data Privacy Walter Rocchi - okladka książki

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Autor:
Walter Rocchi
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
358
Dostępne formaty:
     ePub
     Mobi
Ebook
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Description
Data is now the fuel of every industry, from healthcare and automotive to smart homes and AIpowered services. As connected devices, cloud platforms, and machine learning spread everywhere, privacy and security risks silently grow alongside innovation.

Guided by realworld scenarios, the book moves from the origins of data privacy and regulatory frameworks to practical data classification, anonymization, and masking techniques you can implement. You will learn how automation, AI, and ML interact with privacy; how blockchain can both enhance and endanger data protection; how to secure IoT ecosystems and healthcare data; and how to manage privacy in automotive and smart mobility, including attack tools such as Flipper Zero. Finally, you will build a unifying privacy framework that ties together standards, governance, and handson controls across all these domains.

By the end of this book, readers will be able to analyze and classify data, design and evaluate privacy controls. They will be equipped to translate privacy principles into concrete architectures, policies, and safeguards that make a measurable difference in their daily work, whatever their sector.

What you will learn
Classify and map data to effective, risk-based protection measures.
Apply anonymization, masking, swapping, and synthetic data for privacy preservation.
Evaluate blockchain, IoT, and AI architectures for privacy risks.
Design controls for healthcare, automotive, and smart home ecosystems.
Translate regulations into practical policies, procedures, and technical safeguards.
Mitigate DoS attacks on IoT physical layers and wireless sensors.

Who this book is for
This book is for privacy professionals, cybersecurity specialists, data protection officers, compliance managers, solution architects, and technical leads working with AI, IoT, cloud, or blockchain systems. It is also valuable for auditors, consultants, product managers, and engineers responsible for designing or assessing dataintensive services.

Table of Contents
1. Origin of Data Privacy
2. The Steady State
3. Data Classification
4. Impact of Privacy Laws on Data Activities
5. Anonymization
6. Rise of Automation
7. Machine Learning and Secure Programming
8. Privacy in Blockchain
9. Embedding Privacy in Blockchain
10. Privacy in Healthcare
11. Privacy and Security in Internet of Things
12. Privacy in Automotive
13. Setting up a Proper Privacy Framework with Monster Mesh
14. Upcoming Future
15. Case Studies

O autorze książki

Walter Rocchi, (ISO 27001 Lead Implementer, ISO 27001 Lead Auditor, CISA, CEH, IAPP CIPP/E – CIPT), with 24 years of activity, is a seasoned freelancer and has, acted as CISO and in similar roles for several companies, mostly in finance, retail, telecoms, utilities, and government agencies. He has consulted with big corporations and funded start-ups, and he’s always looking for new challenges.

He spends his free time reading, hiking, and enjoying his two children, and he’s an avid blues listener and is addicted to TV series (especially Marvel).

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