De-anonymization - Revision history

Drakeula: formatting

2025-11-05T07:34:21Z

formatting

← Older revision		Revision as of 07:34, 5 November 2025
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	De-anonymization is the process or final state of revealing the true identity of an anonymous or pseudonymous person. All data linked to the anonymous or pseudonymous entity can then be connected to the true identity.		'''De-anonymization''' is the process or final state of revealing the true identity of an anonymous or pseudonymous person. All data linked to the anonymous or pseudonymous entity can then be connected to the true identity.

	==How it works==		==How it works==

AnotherConsumerRightsPerson: /* How data is anonymized */ +part suggested by Jerry468

2025-10-22T15:43:21Z

How data is anonymized: +part suggested by Jerry468

← Older revision		Revision as of 15:43, 22 October 2025
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	==How data is anonymized==		==How data is anonymized==
	Anonymization, in practice, also involves around collecting user data that is said to be "aggregated/de-identified basis" which involves the usage of [[wikipedia:K-anonymity\|k-anonymity]]. There are also forms of data collection that also used in different methods such as [[wikipedia:T-closeness\|''t''-closeness]], [[wikipedia:L-diversity\|''l''-diversity]], and [[wikipedia:Differential_privacy\|differential privacy]], however there are other forms of data collection that is also used, which have yet to be disclosed to the customers.		Before de-anonymization happens, it needs to be anonymized. Anonymization, in practice, also involves around collecting user data that is said to be "aggregated/de-identified basis" which involves the usage of [[wikipedia:K-anonymity\|k-anonymity]]. There are also forms of data collection that also used in different methods such as [[wikipedia:T-closeness\|''t''-closeness]], [[wikipedia:L-diversity\|''l''-diversity]], and [[wikipedia:Differential_privacy\|differential privacy]], however there are other forms of data collection that is also used, which have yet to be disclosed to the customers.

	==Why it is a problem==		==Why it is a problem==

AnotherConsumerRightsPerson: /* How data is anonymized */ No need for that!

2025-09-23T19:24:38Z

How data is anonymized: No need for that!

← Older revision		Revision as of 19:24, 23 September 2025
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	==How data is anonymized==		==How data is anonymized==
	~~{{Notice\|Note from Collaborator: While maybe irrelevant, it is important to understand how data is collected when it comes to it being anonymized.}}~~
	Anonymization, in practice, also involves around collecting user data that is said to be "aggregated/de-identified basis" which involves the usage of [[wikipedia:K-anonymity\|k-anonymity]]. There are also forms of data collection that also used in different methods such as [[wikipedia:T-closeness\|''t''-closeness]], [[wikipedia:L-diversity\|''l''-diversity]], and [[wikipedia:Differential_privacy\|differential privacy]], however there are other forms of data collection that is also used, which have yet to be disclosed to the customers.		Anonymization, in practice, also involves around collecting user data that is said to be "aggregated/de-identified basis" which involves the usage of [[wikipedia:K-anonymity\|k-anonymity]]. There are also forms of data collection that also used in different methods such as [[wikipedia:T-closeness\|''t''-closeness]], [[wikipedia:L-diversity\|''l''-diversity]], and [[wikipedia:Differential_privacy\|differential privacy]], however there are other forms of data collection that is also used, which have yet to be disclosed to the customers.

Wojiee: /* How it works */ changed the definition to one that is more precise.

2025-08-26T08:59:11Z

How it works: changed the definition to one that is more precise.

← Older revision		Revision as of 08:59, 26 August 2025
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	De-anonymization is ~~a practice used to relate pieces~~ of ~~previously-anonymized user~~ data ~~in order~~ to ~~assemble a complete user profile~~.		De-anonymization is the process or final state of revealing the true identity of an anonymous or pseudonymous person. All data linked to the anonymous or pseudonymous entity can then be connected to the true identity.

	==How it works==		==How it works==
	The core of de-anonymization involves making inferences to connect different types of obfuscated data, sometimes even across platforms.		The core of de-anonymization involves making inferences to connect different types of obfuscated data, sometimes even across platforms.

	== How data is anonymized ==		==How data is anonymized==
	{{Notice\|Note from Collaborator: While maybe irrelevant, it is important to understand how data is collected when it comes to it being anonymized.}}		{{Notice\|Note from Collaborator: While maybe irrelevant, it is important to understand how data is collected when it comes to it being anonymized.}}
	Anonymization, in practice, also involves around collecting user data that is said to be "aggregated/de-identified basis" which involves the usage of [[wikipedia:K-anonymity\|k-anonymity]]. There are also forms of data collection that also used in different methods such as [[wikipedia:T-closeness\|''t''-closeness]], [[wikipedia:L-diversity\|''l''-diversity]], and [[wikipedia:Differential_privacy\|differential privacy]], however there are other forms of data collection that is also used, which have yet to be disclosed to the customers.		Anonymization, in practice, also involves around collecting user data that is said to be "aggregated/de-identified basis" which involves the usage of [[wikipedia:K-anonymity\|k-anonymity]]. There are also forms of data collection that also used in different methods such as [[wikipedia:T-closeness\|''t''-closeness]], [[wikipedia:L-diversity\|''l''-diversity]], and [[wikipedia:Differential_privacy\|differential privacy]], however there are other forms of data collection that is also used, which have yet to be disclosed to the customers.
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	{{reflist}}<ref>{{Cite book \|last=Narayanan & Shmatikov \|first=Arvind & Vitaly \|title=How To Break Anonymity of the Netflix Prize Dataset \|date=November 11, 2006 \|publisher=The University of Texas at Austin \|location=United States, Taxes, Austin.}}</ref>		{{reflist}}<ref>{{Cite book \|last=Narayanan & Shmatikov \|first=Arvind & Vitaly \|title=How To Break Anonymity of the Netflix Prize Dataset \|date=November 11, 2006 \|publisher=The University of Texas at Austin \|location=United States, Taxes, Austin.}}</ref>
	[[Category:Common terms]]		[[Category:Common terms]]
			<references />

Jerry468: While this is my first time contributing, while it may be irrelevant, or maybe in some mistakes I may have did, it still fits the article about De-anonymization and how anonymized data is processed. My apologies for the mistake I may have did.

2025-08-25T15:56:16Z

While this is my first time contributing, while it may be irrelevant, or maybe in some mistakes I may have did, it still fits the article about De-anonymization and how anonymized data is processed. My apologies for the mistake I may have did.

← Older revision		Revision as of 15:56, 25 August 2025
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	==How it works==		==How it works==
	The core of de-anonymization involves making inferences to connect different types of obfuscated data, sometimes even across platforms.		The core of de-anonymization involves making inferences to connect different types of obfuscated data, sometimes even across platforms.

			== How data is anonymized ==
			{{Notice\|Note from Collaborator: While maybe irrelevant, it is important to understand how data is collected when it comes to it being anonymized.}}
			Anonymization, in practice, also involves around collecting user data that is said to be "aggregated/de-identified basis" which involves the usage of [[wikipedia:K-anonymity\|k-anonymity]]. There are also forms of data collection that also used in different methods such as [[wikipedia:T-closeness\|''t''-closeness]], [[wikipedia:L-diversity\|''l''-diversity]], and [[wikipedia:Differential_privacy\|differential privacy]], however there are other forms of data collection that is also used, which have yet to be disclosed to the customers.

	==Why it is a problem==		==Why it is a problem==
	Many privacy policies describe the disclosure of anonymized data to third parties in an effort to limit unwarranted data collection. However, de-anonymization circumvents these privacy measures, allowing these third parties to engage in practices such as data sales or targeted advertising as normal.		Many privacy policies describe the disclosure of anonymized data to third parties in an effort to "limit unwarranted data collection". However, de-anonymization circumvents these privacy measures, allowing these third parties to engage in practices such as data sales or targeted advertising as normal. This is however, an issue when it comes to privacy, as an adversary (e.g telemarketer) will be able to conduct an research on those records in order to attempt to reveal the data that is aggregated.[https://en.wikipedia.org/wiki/K-anonymity#Critiques_of_k-anonymity]

	==Examples==		==Examples==
	{{reflist}}		{{reflist}}<ref>{{Cite book \|last=Narayanan & Shmatikov \|first=Arvind & Vitaly \|title=How To Break Anonymity of the Netflix Prize Dataset \|date=November 11, 2006 \|publisher=The University of Texas at Austin \|location=United States, Taxes, Austin.}}</ref>

	[[Category:Common terms]]		[[Category:Common terms]]

47.41.164.78: Creation of stub article

2025-08-12T04:37:52Z

Creation of stub article

New page

{{StubNotice}}

De-anonymization is a practice used to relate pieces of previously-anonymized user data in order to assemble a complete user profile.

==How it works==
The core of de-anonymization involves making inferences to connect different types of obfuscated data, sometimes even across platforms.

==Why it is a problem==
Many privacy policies describe the disclosure of anonymized data to third parties in an effort to limit unwarranted data collection. However, de-anonymization circumvents these privacy measures, allowing these third parties to engage in practices such as data sales or targeted advertising as normal.

==Examples==
{{reflist}}

[[Category:Common terms]]