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Author: Khaled El Emam
Publisher: "O'Reilly Media, Inc."
ISBN: 1492072699
Category : Computers
Languages : en
Pages : 170
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Book Description
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
Author: Khaled El Emam
Publisher: "O'Reilly Media, Inc."
ISBN: 1492072699
Category : Computers
Languages : en
Pages : 170
Get Book Here
Book Description
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
Author: Gwen Kennedy
Publisher:
ISBN: 9780999512715
Category :
Languages : en
Pages :
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Book Description
A survey of Data Privacy and Security Laws worldwide with helpful explanations. What do Target, Google, Apple and Samsung all have in common? If you answered multimillion dollar fines for data privacy violations, you¿d be right.But you don¿t have to be Google to face a crippling lawsuit that could threaten the future of your business. Written in accessible language by experienced US and internationally-qualified professionals, Data Privacy: A Practical Guide enables business people to develop a quick and sound understanding of a company¿s legal obligations to protect client data.This book answers questions like: Which are the key data privacy law standard-setting bodies in the US and internationally? To what extent does cross-border selling expose you to data privacy compliance risks in foreign countries? Can you effectively offload your legal responsibilities to protect customer data to outsourced third-party service providers like web hosts and payment processors? What are your legal obligations after discovering a data privacy breach? What legal risks are involved in Web-based file sharing services like Dropbox? At what stage must you appoint a Data Protection Officer? How to document your company¿s compliance with its data privacy policy? ...and many more. Concrete examples are introduced throughout the text and are annotated to illustrate the implications of applicable laws on data privacy policies. Essential summaries ensure that key applicable laws of the US, Canada, EU, Australia, and several emerging markets are taken into account when designing your company¿s data protection policies. We also provide specific recommended courses of action to follow to mitigate liability following a data privacy breach. If you are creating, managing or complying with data privacy policy in an organization, this book was written for you.
Author: Nishant Bhajaria
Publisher: Simon and Schuster
ISBN: 1638357188
Category : Computers
Languages : en
Pages : 632
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Book Description
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-off s 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
Author: June M. Sullivan
Publisher: American Bar Association
ISBN: 9781590313961
Category : Law
Languages : en
Pages : 274
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Book Description
This concise, practical guide helps the advocate understand the sometimes dense rules in advising patients, physicians, and hospitals, and in litigating HIPAA-related issues.
Author: Determann, Lothar
Publisher: Edward Elgar Publishing
ISBN: 1802202919
Category : Law
Languages : en
Pages : 256
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Book Description
Companies, lawyers, privacy officers, compliance managers, as well as human resources, marketing and IT professionals are increasingly facing privacy issues. While plenty of information is freely available, it can be difficult to grasp a problem quickly, without getting lost in details and advocacy. This is where Determann’s Field Guide to Data Privacy Law comes into its own – identifying key issues and providing concise practical guidance for an increasingly complex field shaped by rapid change in international laws, technology and society
Author: Peter Christen
Publisher: Springer Nature
ISBN: 3030597067
Category : Computers
Languages : en
Pages : 476
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Book Description
This book provides modern technical answers to the legal requirements of pseudonymisation as recommended by privacy legislation. It covers topics such as modern regulatory frameworks for sharing and linking sensitive information, concepts and algorithms for privacy-preserving record linkage and their computational aspects, practical considerations such as dealing with dirty and missing data, as well as privacy, risk, and performance assessment measures. Existing techniques for privacy-preserving record linkage are evaluated empirically and real-world application examples that scale to population sizes are described. The book also includes pointers to freely available software tools, benchmark data sets, and tools to generate synthetic data that can be used to test and evaluate linkage techniques. This book consists of fourteen chapters grouped into four parts, and two appendices. The first part introduces the reader to the topic of linking sensitive data, the second part covers methods and techniques to link such data, the third part discusses aspects of practical importance, and the fourth part provides an outlook of future challenges and open research problems relevant to linking sensitive databases. The appendices provide pointers and describe freely available, open-source software systems that allow the linkage of sensitive data, and provide further details about the evaluations presented. A companion Web site at https://dmm.anu.edu.au/lsdbook2020 provides additional material and Python programs used in the book. This book is mainly written for applied scientists, researchers, and advanced practitioners in governments, industry, and universities who are concerned with developing, implementing, and deploying systems and tools to share sensitive information in administrative, commercial, or medical databases. The Book describes how linkage methods work and how to evaluate their performance. It covers all the major concepts and methods and also discusses practical matters such as computational efficiency, which are critical if the methods are to be used in practice - and it does all this in a highly accessible way!David J. Hand, Imperial College, London
Author: Gwen Kennedy
Publisher:
ISBN: 9780999512746
Category :
Languages : en
Pages :
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Book Description
A book for anyone wanting to know about data privacy laws. This is the 3rd edition of this Practical Guide and contains deeply insightful and practical information about data privacy laws around the world and what is required of businesses today and how to comply with the law.
Author: Nihad Hassan
Publisher: Apress
ISBN: 1484227999
Category : Computers
Languages : en
Pages : 302
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Book Description
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
Author: Thomas J. Shaw (Attorney)
Publisher:
ISBN: 9781616328078
Category : Computer security
Languages : en
Pages : 0
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Book Description
This book provides a practical and comprehensive approach to information security and privacy law for both international and domestic statutes. It provides all the tools needed to handle the business, legal and technical risks of protecting information on a global scale. For anyone responsible for or advising a corporation involved in domestic or international business, who must comply with a dizzying array of statutes, regulations, technologies, methodologies and standards, this book is for you.
Author: Violet Blue
Publisher: No Starch Press
ISBN: 1593277148
Category : Computers
Languages : en
Pages : 178
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Book Description
The whirlwind of social media, online dating, and mobile apps can make life a dream—or a nightmare. For every trustworthy website, there are countless jerks, bullies, and scam artists who want to harvest your personal information for their own purposes. But you can fight back, right now. In The Smart Girl’s Guide to Privacy, award-winning author and investigative journalist Violet Blue shows you how women are targeted online and how to keep yourself safe. Blue’s practical, user-friendly advice will teach you how to: –Delete personal content from websites –Use website and browser privacy controls effectively –Recover from and prevent identity theft –Figure out where the law protects you—and where it doesn’t –Set up safe online profiles –Remove yourself from people-finder websites Even if your privacy has already been compromised, don’t panic. It’s not too late to take control. Let The Smart Girl’s Guide to Privacy help you cut through the confusion and start protecting your online life.
