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Tokenization, when applied to data security, is the process of substituting a sensitive data element with a non-sensitive equivalent, referred to as a token, that has no intrinsic or exploitable meaning or value. The token is a reference (i.e. identifier) that maps back to the sensitive data through a tokenization system.
Tokenization may refer to: Tokenization (lexical analysis) in language processing; Tokenization in search engine indexing; Tokenization (data security) in the field ...
As blockchain technology becomes more popular, tokenization is commonly used to secure the ownership of assets, protect data and participate in crypto investing. However, while many users ...
Biometric tokenization like its non-biometric counterpart, tokenization, utilizes end-to-end encryption to safeguard data in transit.With biometric tokenization, a user initiates his or her authentication first by accessing or unlocking biometrics such as fingerprint recognition, facial recognition system, speech recognition, iris recognition or retinal scan, or combination of these biometric ...
Flamingo demonstrated the effectiveness of the tokenization method, finetuning a pair of pretrained language model and image encoder to perform better on visual question answering than models trained from scratch. [84] Google PaLM model was fine-tuned into a multimodal model PaLM-E using the tokenization method, and applied to robotic control. [85]
"Tokenization, when applied to data security, is the process of substituting a sensitive data element with a non-sensitive equivalent, referred to as a token, that has no extrinsic or exploitable meaning or value. The token is a reference (i.e. identifier) that maps back to the sensitive data through a tokenization system.
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The Payment Card Industry Data Security Standard (PCI DSS) is a proprietary international information security standard for organizations that handle cardholder information for the major debit, credit, prepaid, e-purse, automated teller machines, and point of sale cards.