Rocchi walter (22 résultats)

Paperback or Softback. Etat : New. Data Privacy: Implementing privacy frameworks and machine learning models across AI, blockchain, healthcare, and IoT ecosystems (English Edition). Book.

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UNK. Etat : New. New Book. Shipped from UK. Established seller since 2000.

UNK. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Paperback. Etat : New.

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Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : Neu. Neuware - Data is now the fuel of every industry, from healthcare and automotive to smart homes and AI-powered services. As connected devices, cloud platforms, and machine learning spread everywhere, privacy and security risks silently grow alongside innovation. Guided by real-world 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 hands-on 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 forThis 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 data-intensive services.Table of Contents1. Origin of Data Privacy2. The Steady State3. Data Classification4. Impact of Privacy Laws on Data Activities5. Anonymization6. Rise of Automation7. Machine Learning and Secure Programming8. Privacy in Blockchain9. Embedding Privacy in Blockchain10. Privacy in Healthcare11. Privacy and Security in Internet of Things12. Privacy in Automotive13. Setting up a Proper Privacy Framework with Monster Mesh14. Upcoming Future15. Case Studies.…

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND.

Paperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Paperback. Etat : new. Paperback. Data is now the fuel of every industry, from healthcare and automotive to smart homes and AI-powered services. As connected devices, cloud platforms, and machine learning spread everywhere, privacy and security risks silently grow alongside innovation. Guided by real-world 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 hands-on 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 forThis 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 data-intensive services.Table of Contents1. Origin of Data Privacy2. The Steady State3. Data Classification4. Impact of Privacy Laws on Data Activities5. Anonymization6. Rise of Automation7. Machine Learning and Secure Programming8. Privacy in Blockchain9. Embedding Privacy in Blockchain10. Privacy in Healthcare11. Privacy and Security in Internet of Things12. Privacy in Automotive13. Setting up a Proper Privacy Framework with Monster Mesh14. Upcoming Future15. Case Studies This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Get to grips with cybersecurity and privacy laws to protect your company's data and comply with international privacy standards Key Features:Comply with cybersecurity standards and protect your data from hackers Identify the gaps in your company's security posture using gap analysis and business impact analysis Understand what you need to do for security and privacy without needing to pay consultants Book Description: Cybercriminals are incessantly coming up with new ways to compromise online systems and wreak havoc, creating an ever-growing need for cybersecurity practitioners in every organization across the globe who understand international security standards, such as the ISO27k family of standards. If you're looking to ensure that your company's data conforms to these standards, Cybersecurity and Privacy Law Handbook has got you covered. It'll not only equip you with the rudiments of cybersecurity but also guide you through privacy laws and explain how you can ensure compliance to protect yourself from cybercrime and avoid the hefty fines imposed for non-compliance with standards. Assuming that you're new to the field, this book starts by introducing cybersecurity frameworks and concepts used throughout the chapters. You'll understand why privacy is paramount and how to find the security gaps in your company's systems. There's a practical element to the book as well-you'll prepare policies and procedures to prevent your company from being breached. You'll complete your learning journey by exploring cloud security and the complex nature of privacy laws in the US. By the end of this cybersecurity book, you'll be well-placed to protect your company's data and comply with the relevant standards. What You Will Learn:Strengthen the cybersecurity posture throughout your organization Use both ISO27001 and NIST to make a better security framework Understand privacy laws such as GDPR, PCI CSS, HIPAA, and FTC Discover how to implement training to raise cybersecurity awareness Find out how to comply with cloud privacy regulations Examine the complex privacy laws in the US Who this book is for: If you're a seasoned IT security or cybersecurity pro, this book isn't for you. This book is for novices, freshers, students, experts in other fields, as well as managers who want to learn the workings and management of a security function. Although this book will teach you how to build and manage a security function on your own, you'll also find it valuable if you want to supervise a team devoted to implementing cybersecurity and privacy practices in an organization.…

Taschenbuch. Etat : Neu. Cybersecurity and Privacy Law Handbook | A beginner's guide to dealing with privacy and security while keeping hackers at bay | Walter Rocchi | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Packt Publishing | EAN 9781803242415 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …