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The tokenization system must be secured and validated using security best practices [6] applicable to sensitive data protection, secure storage, audit, authentication and authorization. The tokenization system provides data processing applications with the authority and interfaces to request tokens, or detokenize back to sensitive data.
Tokenization may refer to: Tokenization (lexical analysis) in language processing; Tokenization in search engine indexing; Tokenization (data security) in the field ...
Data masking can also be referred as anonymization, or tokenization, depending on different context. The main reason to mask data is to protect information that is classified as personally identifiable information, or mission critical data. However, the data must remain usable for the purposes of undertaking valid test cycles.
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 ...
Tokenization (data security), the process of substituting a sensitive data element; Invitation token, in an invitation system; Token Ring, a network technology in which a token circles in a logical ring; Token, an object used in Petri net theory; Lexical token, a word or other atomic parse element
Shqip; தமிழ் ... Biometric tokenization; Blancco; BPO security; Data breach; List of data breaches; Budapest Declaration on Machine Readable Travel ...
Lexical tokenization is the conversion of a raw text into (semantically or syntactically) meaningful lexical tokens, belonging to categories defined by a "lexer" program, such as identifiers, operators, grouping symbols, and data types. The resulting tokens are then passed on to some other form of processing.