Privacy Enhancing Credential - Revision history

Tom at 19:10, 6 August 2025

2025-08-06T19:10:46Z

Tom: /* Other Technologies */

2025-03-07T19:55:47Z

‎Other Technologies

Tom: /* Other Material */

2024-12-09T23:38:06Z

‎Other Material

Tom: /* Selective Disclosure */

2024-08-06T23:36:49Z

‎Selective Disclosure

Tom: /* Other Technologies */

2024-08-06T23:33:33Z

‎Other Technologies

Tom: /* Other Technologies */

2024-08-06T23:32:57Z

‎Other Technologies

Tom: /* Other Technologies */

2024-08-06T23:30:34Z

‎Other Technologies

Tom: /* Solutions */

2024-08-06T23:29:13Z

‎Solutions

Tom: /* References */

2024-08-06T23:13:16Z

‎References

Tom: /* Solutions */

2024-08-06T23:11:24Z

‎Solutions

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 ==Full Title or Meme==
-A collection of private and secret data that can be used to prove an assertion in a manner that does not release more private information than absolutely required for the purpose described. Perhaps that term is used to indicate a mobile computer device, which is the preferred technology solution.
+A collection of private and secret data that can be used to prove an assertion in a manner that does not release more private information than absolutely required for the purpose described. Perhaps that term is used to indicate a mobile computer device, which is the preferred [[Technology Solution]].
 ==Context==
-* Regardless of any technology used to protect user data in a credential, it serves no purpose if it is not limited to use in a protected [[Ecosystem]].
+* Regardless of any [[Privacy Enhancing Technology]] used to protect user data in a credential, it serves no purpose if it is not limited to use in a protected [[Ecosystem]].
 * In some contexts, the term "Privacy Enhancing Credential" is used, although there are very few use cases where a credential is not mobile even when it is just a driver's license in a holder's pocket.
 * Simple credentials that do not rely on secrets to protect user data are not considered to be of any value as a [[Privacy Enhancing Credential]].
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 * The Credential could be included and used entirely within the context of a [[Trusted Execution Environment]], or a [[Secure Enclave]] and its resident software.
 ==Solutions==
-Privacy Enhancing Technologies (PETs) are a broad range of technologies designed to protect users’ personal data and enhance their privacy on the internet.
+[[Privacy Enhancing Technology|Privacy Enhancing Technologies (PETs)]] are a broad range of technologies designed to protect users’ personal data and enhance their privacy on the internet.
 * The [[Privacy Enhancing Technology Provider]] is described on a related wiki page.
 ===Selective Disclosure===

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 # Federated Learning is a machine learning approach where the model is trained across multiple decentralized devices holding local data samples, without exchanging them³.
 # Differential Privacy is a system for publicly sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals in the dataset⁴.
-# Anonymizing Networks help users to hide their physical location and usage from anyone conducting network surveillance or traffic analysis⁵.
+# Anonymizing Networks help users to hide their [[Physical Location]] and usage from anyone conducting network surveillance or traffic analysis⁵.
 # Anti-tracking Tools are used to prevent online services from tracking users' browsing activities⁵.
 # Virtual Private Networks (VPNs) create a secure and encrypted connection over a less secure network, such as the internet⁵.

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 ===Other Material===
 * Also see wiki page on [[Privacy Harms]].
 [[Category: Privacy]]

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 The benefits of selective disclosure credentials include:
-*Data Minimization: Sharing only the minimum amount of information necessary for a specific transaction or purpose, reducing the risk of data breaches and privacy violations¹.
+*Data Minimization: Sharing only the minimum amount of information necessary for a specific transaction or purpose, reducing the risk of data breaches and privacy violations.
 *Compliance with Data Regulations: Helps organizations comply with data protection regulations such as the GDPR and CCPA by minimizing the amount of personal data processed and stored.
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 Source: Conversation with Copilot, 8/6/2024
-  (3) Current Work and Future Trends in Selective Disclosure - self-issued. https://self-issued.info/presentations/EIC_2023_Selective_Disclosure.pdf.
+  (3) Current Work and Future Trends in Selective Disclosure - self-issued. https://self-issued.info/presentations/EIC_2023_Selective_Disclosure.pdf
-  (4) undefined. https://www.w3.org/TR/2024/NOTE-vc-overview-20240706/.
+  (4) undefined. https://www.w3.org/TR/2024/NOTE-vc-overview-20240706/
-  (5) undefined. https://w3c.github.io/vc-overview/.
+  (5) undefined. https://w3c.github.io/vc-overview/
-  (6) undefined. https://www.w3.org/standards/history/vc-overview/.
+  (6) undefined. https://www.w3.org/standards/history/vc-overview/
-  (7) undefined. https://www.w3.org/TR/.
+  (7) undefined. https://www.w3.org/TR/
 ===Zero Knowledge Proof===

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 ===Other Technologies===
-# Cryptographic algorithms = are mathematical algorithms that ensure the confidentiality, integrity, and authenticity of data¹.
+# Cryptographic algorithms are mathematical algorithms that ensure the confidentiality, integrity, and authenticity of data¹.
-# Homomorphic Encryption = an encryption method allows computations to be performed on encrypted data without decrypting it².
+# Homomorphic Encryption is an encryption method allows computations to be performed on encrypted data without decrypting it².
 # AI-generated Synthetic Data  involves creating artificial data that can be used in place of real data to protect individuals' privacy³.
 # Secure Multi-party Computation allows parties to jointly compute a function over their inputs while keeping those inputs private³.

@@ Line 40: / Line 40: @@
 ===Other Technologies===
-# **Cryptographic algorithms**: These are mathematical algorithms that ensure the confidentiality, integrity, and authenticity of data¹.
+# Cryptographic algorithms = are mathematical algorithms that ensure the confidentiality, integrity, and authenticity of data¹.
-# **Homomorphic Encryption**: This encryption method allows computations to be performed on encrypted data without decrypting it².
+# Homomorphic Encryption = an encryption method allows computations to be performed on encrypted data without decrypting it².
-# **AI-generated Synthetic Data**: This involves creating artificial data that can be used in place of real data to protect individuals' privacy³.
+# AI-generated Synthetic Data  involves creating artificial data that can be used in place of real data to protect individuals' privacy³.
-# **Secure Multi-party Computation**: This allows parties to jointly compute a function over their inputs while keeping those inputs private³.
+# Secure Multi-party Computation allows parties to jointly compute a function over their inputs while keeping those inputs private³.
-# **Federated Learning**: A machine learning approach where the model is trained across multiple decentralized devices holding local data samples, without exchanging them³.
+# Federated Learning is a machine learning approach where the model is trained across multiple decentralized devices holding local data samples, without exchanging them³.
-# **Differential Privacy**: A system for publicly sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals in the dataset⁴.
+# Differential Privacy is a system for publicly sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals in the dataset⁴.
-# **Anonymizing Networks**: These help users to hide their physical location and usage from anyone conducting network surveillance or traffic analysis⁵.
+# Anonymizing Networks help users to hide their physical location and usage from anyone conducting network surveillance or traffic analysis⁵.
-# **Anti-tracking Tools**: These are used to prevent online services from tracking users' browsing activities⁵.
+# Anti-tracking Tools are used to prevent online services from tracking users' browsing activities⁵.
-# **Virtual Private Networks (VPNs)**: VPNs create a secure and encrypted connection over a less secure network, such as the internet⁵.
+# Virtual Private Networks (VPNs) create a secure and encrypted connection over a less secure network, such as the internet⁵.
-# **Secure Messaging**: This refers to the encryption of messages to protect the content from being read by unintended recipients⁵.
+# Secure Messaging refers to the encryption of messages to protect the content from being read by unintended recipients⁵.
 # See the wiki page on [[Blockchain Privacy]] which can be described as privacy preserving even though the entire chain is publicly accessible.