Practical Data Privacy
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Practical Data Privacy
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Author : Katharine Jarmul
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-04-19
Practical Data Privacy written by Katharine Jarmul and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-19 with Computers categories.
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions such as: What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases? What does "anonymized data" really mean? How do I actually anonymize data? How does federated learning and analysis work? Homomorphic encryption sounds great, but is it ready for use? How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help? How do I ensure that my data science projects are secure by default and private by design? How do I work with governance and infosec teams to implement internal policies appropriately?
Practical Data Privacy
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Author : Katharine Jarmul
language : en
Publisher: O'Reilly Media
Release Date : 2023-07-31
Practical Data Privacy written by Katharine Jarmul and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-31 with Computers categories.
Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure for data scientists to ensure data privacy. Unfortunately, integrating privacy into your data science workflow is still complicated. This essential guide will give you solid advice and best practices on breakthrough privacy-enhancing technologies such as encrypted learning and differential privacy--as well as a look at emerging technologies and techniques in the field. Practical Data Privacy answers important questions such as: What do privacy regulations like GDPR and CCPA mean for my project? What does "anonymized data" really mean? Should I anonymize the data? If so, how? Which privacy techniques fit my project and how do I incorporate them? What are the differences and similarities between privacy-preserving technologies and methods? How do I utilize an open-source library for a privacy-enhancing technique? How do I ensure that my projects are secure by default and private by design? How do I create a plan for internal policies or a specific data project that incorporates privacy and security from the start?
Data Protection A Practical Guide To Uk And Eu Law
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Author : Peter Carey
language : en
Publisher: OUP Oxford
Release Date : 2009-03-05
Data Protection A Practical Guide To Uk And Eu Law written by Peter Carey and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-05 with Law categories.
Now in its third edition, this invaluable handbook offers practical solutions to issues arising in relation to data protection law. It is fully updated and expanded to include coverage of all of the significant developments in the practice of data protection, and takes account of the wealth of guidance published by the Information Commissioner since the last edition. The third edition includes new material on the changes to the Commissioner's powers and new guidance from the Commissioner's office, coverage of new cases on peripheral aspects of data protection compliance and examples of enforcement, the new code on CCTV processing, the new employment code, clarification on the definition of "personal data", the binding corporate rules on the exemption to the export data ban and the new ICT set of model contractual provisions for data exports, and the proposed action by the EU against the UK for failing to implement the Data Protection Directive appropriately. There are new chapters on terminology and data security.
Eu Personal Data Protection In Policy And Practice
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Author : Bart Custers
language : en
Publisher: Springer
Release Date : 2019-02-28
Eu Personal Data Protection In Policy And Practice written by Bart Custers and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Law categories.
In this book, the protection of personal data is compared for eight EU member states,namely France, Germany, the United Kingdom, Ireland, Romania, Italy, Sweden andthe Netherlands. The comparison of the countries is focused on government policiesfor the protection of personal data, the applicable laws and regulations, implementationof those laws and regulations, and supervision and enforcement. Although the General Data Protection Regulation (GDPR) harmonizes the protectionof personal data across the EU as of May 2018, its open norms in combination withcultural differences between countries result in differences in the practical implementation,interpretation and enforcement of personal data protection. With its focus on data protection law in practice, this book provides indepth insightsinto how different countries deal with data protection issues. The knowledge and bestpractices from these countries provide highly relevant material for legal professionals,data protection officers, policymakers, data protection authorities and academicsacross Europe. Bart Custers is Associate Professor and Director of Research at the Center for Law andDigital Technologies of the Leiden Law School at Leiden University, the Netherlands.Alan M. Sears, Francien Dechesne, Ilina Georgieva and Tommaso Tani are all affiliated tothat same organization, of which Professor Simone van der Hof is the General Director.
The Eu General Data Protection Regulation Gdpr
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Author : Paul Voigt
language : en
Publisher: Springer
Release Date : 2017-08-07
The Eu General Data Protection Regulation Gdpr written by Paul Voigt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Law categories.
This book provides expert advice on the practical implementation of the European Union’s General Data Protection Regulation (GDPR) and systematically analyses its various provisions. Examples, tables, a checklist etc. showcase the practical consequences of the new legislation. The handbook examines the GDPR’s scope of application, the organizational and material requirements for data protection, the rights of data subjects, the role of the Supervisory Authorities, enforcement and fines under the GDPR, and national particularities. In addition, it supplies a brief outlook on the legal consequences for seminal data processing areas, such as Cloud Computing, Big Data and the Internet of Things.Adopted in 2016, the General Data Protection Regulation will come into force in May 2018. It provides for numerous new and intensified data protection obligations, as well as a significant increase in fines (up to 20 million euros). As a result, not only companies located within the European Union will have to change their approach to data security; due to the GDPR’s broad, transnational scope of application, it will affect numerous companies worldwide.
Data Privacy
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Author : Nishant Bhajaria
language : en
Publisher: Simon and Schuster
Release Date : 2022-03-22
Data Privacy written by Nishant Bhajaria and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-22 with Computers categories.
Engineer privacy into your systems with these hands-on techniques for data governance, legal compliance, and surviving security audits. In Data Privacy you will learn how to: Classify data based on privacy risk Build technical tools to catalog and discover data in your systems Share data with technical privacy controls to measure reidentification risk Implement technical privacy architectures to delete data Set up technical capabilities for data export to meet legal requirements like Data Subject Asset Requests (DSAR) Establish a technical privacy review process to help accelerate the legal Privacy Impact Assessment (PIA) Design a Consent Management Platform (CMP) to capture user consent Implement security tooling to help optimize privacy Build a holistic program that will get support and funding from the C-Level and board Data Privacy teaches you to design, develop, and measure the effectiveness of privacy programs. You’ll learn from author Nishant Bhajaria, an industry-renowned expert who has overseen privacy at Google, Netflix, and Uber. The terminology and legal requirements of privacy are all explained in clear, jargon-free language. The book’s constant awareness of business requirements will help you balance trade-offs, and ensure your user’s privacy can be improved without spiraling time and resource costs. About the technology Data privacy is essential for any business. Data breaches, vague policies, and poor communication all erode a user’s trust in your applications. You may also face substantial legal consequences for failing to protect user data. Fortunately, there are clear practices and guidelines to keep your data secure and your users happy. About the book Data Privacy: A runbook for engineers teaches you how to navigate the trade-offs between strict data security and real world business needs. In this practical book, you’ll learn how to design and implement privacy programs that are easy to scale and automate. There’s no bureaucratic process—just workable solutions and smart repurposing of existing security tools to help set and achieve your privacy goals. What's inside Classify data based on privacy risk Set up capabilities for data export that meet legal requirements Establish a review process to accelerate privacy impact assessment Design a consent management platform to capture user consent About the reader For engineers and business leaders looking to deliver better privacy. About the author Nishant Bhajaria leads the Technical Privacy and Strategy teams for Uber. His previous roles include head of privacy engineering at Netflix, and data security and privacy at Google. Table of Contents PART 1 PRIVACY, DATA, AND YOUR BUSINESS 1 Privacy engineering: Why it’s needed, how to scale it 2 Understanding data and privacy PART 2 A PROACTIVE PRIVACY PROGRAM: DATA GOVERNANCE 3 Data classification 4 Data inventory 5 Data sharing PART 3 BUILDING TOOLS AND PROCESSES 6 The technical privacy review 7 Data deletion 8 Exporting user data: Data Subject Access Requests PART 4 SECURITY, SCALING, AND STAFFING 9 Building a consent management platform 10 Closing security vulnerabilities 11 Scaling, hiring, and considering regulations
Hipaa
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Author : June M. Sullivan
language : en
Publisher: American Bar Association
Release Date : 2004
Hipaa written by June M. Sullivan and has been published by American Bar Association this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Law categories.
This concise, practical guide helps the advocate understand the sometimes dense rules in advising patients, physicians, and hospitals, and in litigating HIPAA-related issues.
Data Privacy Law A Practical Guide To The Gdpr
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Author : Gwen Kennedy
language : en
Publisher: R. R. Bowker
Release Date : 2019-05-23
Data Privacy Law A Practical Guide To The Gdpr written by Gwen Kennedy and has been published by R. R. Bowker this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-23 with Law categories.
A detailed look at the General Data Protection Regulation (GDPR). Understand how to comply. Learn Quick Tips providing answers to your data privacy questions. Learn how to engage a data privacy officer, conduct direct marketing campaigns, create compliance documentation, choose a legal basis for collecting personal information, respond to data subject requests. Avoid costly fines and penalties by ensuring your company's activities comply. Learn about Data Privacy Impact Assessments, data mapping and data subject requests. Answers questions about obtaining consent, processing and retaining personal information. Do your company's direct marketing campaigns conflict with the GDPR? Learn how to create a data privacy compliance program. Included is a survey of all EU member states data privacy laws.
Digital Privacy And Security Using Windows
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Author : Nihad Hassan
language : en
Publisher: Apress
Release Date : 2017-07-02
Digital Privacy And Security Using Windows written by Nihad Hassan and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-02 with Computers categories.
Use this hands-on guide to understand the ever growing and complex world of digital security. Learn how to protect yourself from digital crime, secure your communications, and become anonymous online using sophisticated yet practical tools and techniques. This book teaches you how to secure your online identity and personal devices, encrypt your digital data and online communications, protect cloud data and Internet of Things (IoT), mitigate social engineering attacks, keep your purchases secret, and conceal your digital footprint. You will understand best practices to harden your operating system and delete digital traces using the most widely used operating system, Windows. Digital Privacy and Security Using Windows offers a comprehensive list of practical digital privacy tutorials in addition to being a complete repository of free online resources and tools assembled in one place. The book helps you build a robust defense from electronic crime and corporate surveillance. It covers general principles of digital privacy and how to configure and use various security applications to maintain your privacy, such as TOR, VPN, and BitLocker. You will learn to encrypt email communications using Gpg4win and Thunderbird. What You’ll Learn Know the various parties interested in having your private data Differentiate between government and corporate surveillance, and the motivations behind each one Understand how online tracking works technically Protect digital data, secure online communications, and become anonymous online Cover and destroy your digital traces using Windows OS Secure your data in transit and at rest Be aware of cyber security risks and countermeasures Who This Book Is For End users, information security professionals, management, infosec students
Practical Synthetic Data Generation
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Author : Khaled El Emam
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-05-19
Practical Synthetic Data Generation written by Khaled El Emam and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-19 with Computers categories.
Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data—fake data generated from real data—so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue. Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution. This book describes: Steps for generating synthetic data using multivariate normal distributions Methods for distribution fitting covering different goodness-of-fit metrics How to replicate the simple structure of original data An approach for modeling data structure to consider complex relationships Multiple approaches and metrics you can use to assess data utility How analysis performed on real data can be replicated with synthetic data Privacy implications of synthetic data and methods to assess identity disclosure