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Everything about Data anonymization
Type of information sanitization
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Data anonymizationA 5-minute orientation
- Skim a recent paper: The GDPR and unstructured data: is anonymization possible?Influential work since 2022
- Pick up a classic book: HIV Screening of Pregnant Women And NewbornsThe most-reprinted book on the subject
- Read the landmark paper: Privacy-preserving anonymization of set-valued dataCited 191 times
- Go sideways: PseudonymizationA closely related topic
- Go sideways: Data re-identificationA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Privacy-preserving anonymization of set-valued data
De-anonymization attack on geolocated data
Class-based graph anonymization for social network data
Graph Data Anonymization, De-Anonymization Attacks, and De-Anonymizability Quantification: A Survey
iDASH: integrating data for analysis, anonymization, and sharing
A Review of Anonymization for Healthcare Data
Data anonymization evaluation for big data and IoT environment
Utility-preserving anonymization for health data publishing
🆕 Influential since 2022
The GDPR and unstructured data: is anonymization possible?
An anonymization-based privacy-preserving data collection protocol for digital health data
K-Anonymization approach for privacy preservation using data perturbation techniques in data mining
A Review of Anonymization Algorithms and Methods in Big Data
Methods and tools for healthcare data anonymization: a literature review
📚 Books worth reading
HIV Screening of Pregnant Women And NewbornsInstitute of Medicine · 1990- 📕Digitale identiteit en pseudonieme digitale certificatenAnne-Wil Duthler · 2004
- 📕Der unsichtbare MenschIngrid Brodnig · 2013
Studies in authorship recognitionHeike Hänlein · 1999
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Pseudonymization Pseudonymization is a data management and de-identification procedure by which personally identifiable information fields within a data record are replaced…
- Data re-identification Data re-identification or de-anonymization is the practice of matching de-identified data with auxiliary data, in order to identify the individual to whom…
- De-identification De-identification is the process used to prevent someone's personal identity from being revealed. For example, data produced during human subject research…
- Blockchain privacy Blockchain privacy describes how blockchain systems handle the confidentiality of transaction and record data. Many public blockchains can provide pseudonymity…
- Privacy engineering Privacy engineering is an emerging field of engineering which aims to provide methods, tools, and techniques to ensure systems provide acceptable levels…
- Anonymity Anonymity describes situations in which the acting person's identity is unknown. Anonymity may be created unintentionally through the loss of identifying…
- Personal data Personal data, also known as personal information or personally identifiable information (PII), is any information related to an identifiable person. The…
- Non-personal data Non-Personal Data (NPD) is electronic data that does not contain any information that can be used to identify a natural person. Thus, it can either be…