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It is clearly demonstrated in a case from 2008, one in which the defendant stated on a law-school discussion board that two women should be raped, an anonymous poster's comments may extend beyond free speech protections. [43] In the case, a Connecticut federal court must apply a standard to decide whether the poster's identity should be revealed.
Once an individual's privacy has been breached as a result of re-identification, future breaches become much easier: once a link is made between one piece of data and a person's real identity, any association between the data and an anonymous identity breaks the anonymity of the person. [3]
One well-known example of a zero-knowledge proof is the "Where's Waldo" example. In this example, the prover wants to prove to the verifier that they know where Waldo is on a page in a Where's Waldo? book, without revealing his location to the verifier. [9] The prover starts by taking a large black board with a small hole in it, the size of Waldo.
An anonymous or fake identity is one precaution people take so that their true identity is not stolen or abused. By making the mask available, people can interact with some degree of confidence without fear. Wiszniewski and Coyne state, "Education can be seen as the change process by which identity is realized, how one finds one's place.
A common use of a zero-knowledge password proof is in authentication systems where one party wants to prove its identity to a second party using a password but doesn't want the second party or anybody else to learn anything about the password. For example, apps can validate a password without processing it and a payment app can check the ...
A home burglar in New Zealand used what appears to be a comforter pulled off of a child’s bed to conceal his identity, and it seems to have worked. Robber avoids revealing identity on camera by ...
For example, it may be common knowledge in an organisation that there are 10 senior managers all earning in excess of $300k. If a test environment of the organisation's HR System also includes 10 identities in the same earning-bracket, then other information could be pieced together to reverse-engineer a real-life identity.
Anonymization refers to irreversibly severing a data set from the identity of the data contributor in a study to prevent any future re-identification, even by the study organizers under any condition. [10] [11] De-identification may also include preserving identifying information which can only be re-linked by a trusted party in certain situations.