May 1, 2024
Updated July 10, 2025
12 minute read
Data masking is a data security technique that involves replacing or modifying sensitive data with non-sensitive data. This is done to protect the privacy of individuals or organizations while still allowing data to be used for testing, development, or other purposes. There are many different data masking techniques, each with its own advantages and disadvantages. The most common data masking techniques include:
Data Masking Techniques
1. Tokenization: Replaces sensitive data with unique, non-sensitive tokens that can be used to identify the original data if necessary.
2. Encryption: Encrypts sensitive data using a cryptographic algorithm, making it unreadable without the correct decryption key.
3. Shuffling: Randomly rearranges the order of sensitive data, making it difficult to identify the original data.
4. Subsetting: Selects only a subset of sensitive data to be masked, leaving the rest of the data intact.
Why Use Data Masking?
Data masking is used for a variety of reasons, including:
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Find a path to becoming a Data Masking. Learn more at:
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Reading list
We've selected 28 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Data Masking.
This guide widely recognized resource for navigating data privacy law across multiple jurisdictions, including GDPR and CCPA. While not a technical book on data masking techniques, it is essential for understanding the legal and compliance drivers behind data masking initiatives. It's a must-read reference for anyone involved in data privacy compliance.
Is considered a must-have reference for data protection professionals navigating GDPR compliance. Understanding GDPR's requirements is crucial for implementing effective data masking strategies that meet regulatory obligations. While not about the technicalities of masking, it's essential for the compliance context.
This practical book is designed for engineers and focuses on designing and implementing scalable and automated privacy programs. It helps bridge the gap between privacy regulations and technical implementation, which is directly relevant to operationalizing data masking within an organization. It's a valuable guide for professionals working with data systems.
This handbook takes a data-driven approach to implementing privacy, which includes technical measures like data masking. It's aimed at engineers and provides practical guidance on building privacy into data systems. It's a useful resource for those responsible for the technical implementation of privacy controls.
Focuses on establishing and integrating secure and repeatable anonymization processes, which are directly applicable to data masking pipelines. It provides practical insights for data architects and engineers on implementing de-identification strategies. This book is particularly useful for those involved in the technical implementation of data masking solutions.
An overview of data masking techniques, including the various methods, benefits, and risks associated with data masking. is particularly strong in describing the legal and compliance aspects of data masking.
Provides a comprehensive 360-degree view of data anonymization, which is closely related to data masking. It covers the entire process from planning to implementation, discussing analysis, setup, and governance. It's a useful reference tool for understanding the broader context and practical aspects of protecting sensitive data.
Addresses data masking challenges in big data environments. It covers techniques for scaling data masking solutions, handling structured and unstructured data, and ensuring data privacy in big data analytics.
This recent book explores synthetic data generation, a contemporary topic related to data masking. It delves into modern approaches using AI and machine learning, offering insights into advanced techniques for creating privacy-preserving datasets. It's particularly relevant for those interested in the cutting edge of data de-identification.
This textbook provides a comprehensive introduction to information privacy law with a focus on consumer interests. It covers the legal landscape that necessitates data protection techniques like masking, making it valuable for understanding the 'why' behind data masking. It's often used as a textbook in academic settings.
While focusing on synthetic data, this book is highly relevant as synthetic data generation is often an alternative or complementary technique to data masking for privacy preservation. It explores techniques for generating fake data from real data for secondary analysis while protecting privacy. This is valuable additional reading for understanding different approaches to data de-identification.
Focuses on securing Oracle databases and includes coverage of data masking within that specific database environment. It's highly relevant for database professionals who need to implement data masking on Oracle systems, offering practical technical guidance.
Provides an academic perspective on data privacy law. For those at the undergraduate or graduate level, it offers a deeper dive into the legal principles that underpin data protection and the need for techniques like data masking. It's valuable for academic study and research.
This guide provides a comprehensive look at data masking, covering various aspects and considerations. While published in 2019, it offers a solid overview of the topic and can be a good starting point for gaining a broad understanding of data masking principles and practices.
This guide offers a broad perspective on international information security and privacy law. Understanding the global legal landscape is increasingly important for data masking in multinational organizations. It serves as a useful reference for compliance professionals.
This handbook offers a broad overview of information security across multiple domains, including data security and privacy issues. While not solely focused on data masking, it provides essential background knowledge in the broader field of data protection, which is crucial for understanding the context and importance of data masking. It's a useful reference tool for beginners and professionals alike.
A comprehensive guide to data privacy, covering the legal, technical, and organizational measures that can be used to protect personal data. includes a chapter on data masking as one of the key data privacy techniques.
This guide provides a foundational understanding of data privacy in the context of big data. It helps explain the challenges and importance of protecting large datasets, which often require data masking techniques. It's valuable for understanding the broader data landscape where masking is applied.
Offers a beginner-friendly guide to data security and privacy, covering fundamental concepts and strategies. It provides a good starting point for those new to the topic and helps establish a basic understanding of why data protection, including masking, is important. It's valuable for providing background or prerequisite knowledge.
A practical guide to data protection and privacy, covering topics such as data privacy regulations, data security, and data breach response. includes a chapter on data masking as one of the key data privacy techniques.
A practical guide to data protection and privacy, covering topics such as data privacy regulations, data security, and data breach response. includes a chapter on data masking as one of the key data privacy techniques.
A practical guide to data protection and privacy, covering topics such as data privacy regulations, data security, and data breach response. includes a chapter on data masking as one of the key data privacy techniques.
This extensive handbook provides deep coverage of a wide range of computer and cybersecurity topics. While data masking specific area, this set offers a robust foundation in the broader security landscape, which is essential for understanding the context and importance of data protection techniques. It serves as a comprehensive reference for various security domains.
While focused on Irish and EU law, this book provides a practical guide to data protection regulations within the EU, particularly GDPR. Understanding regional regulations is important for tailoring data masking strategies to specific legal requirements. It's valuable for those dealing with EU data.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/5xrxpd/data
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