9/15/2023 0 Comments Ananemi sattimEncryption? No.ĭata masking is the standard solution for data pseudonymisation. Continuous availability of data for applications – Data masking? Yes.Security of static data – Data masking? Yes.Security of data during transfer – Data masking? No.Data masking versus data encryption: A comparison of two pseudonymisation methodsĭistinct from data masking, data encryption translates data into another form, or code, so that only people with access to a secret key (formally called a decryption key) or password can read it.ĭata masking is a more widely applicable solution as it enables organizations to maintain the usability of their customer data. Blurringĭata blurring uses an approximation of data values to render their meaning obsolete and/or render the identification of individuals impossible. Custom anonymisation can be carried out using scripts or an application. This method allows the user to utilise his own anonymisation technique. The advantage of masking is the ability to identify data without manipulating actual identities. For example: Annecy could become Yneanc MaskingĪ masking technique allows a part of the data to be hidden with random characters or other data. For example: Pseudonymisation with masking of identities or important identifiers. Scrambling techniques involve a mixing or obfuscation of letters. Directory replacementĪ directory replacement method involves modifying the name of individuals integrated within the data, while maintaining consistency between values, such as “postcode + city”. Which techniques are available for anonymising data?Ī variety of methods are available and again the choice will depend on the degree of risk and the intended use of the data. IBAN), credit card numbers, valid keys, partial anonymisation. fiscal code in Italy, National Insurance number in UK), bank account details (e.g. Postal addresses, telephone numbers, postal codes and cities.Family names, patronyms, first names, maiden names, aliases.Included are other related persons, direct or through interaction. Identifiers can apply to any natural or legal person, living or dead, including their dependents, ascendants and descendants. Those in possession of personal data should implement one or other of these techniques to minimise risk, and automation can reduce the cost of compliance.īy definition, data anonymization techniques seek to conceal identity and thus identifiers of any nature. These techniques should, therefore, be generalised and recurring. Pseudonymisation does not remove all identifying information from the data but merely reduces the linkability of a dataset with the original identity of an individual (e.g., via an encryption scheme).īoth pseudonymisation and anonymization are encouraged in the GDPR and enable its constraints to be met. With anonymisation, the data is scrubbed for any information that may serve as an identifier of a data subject. Pseudonymisation techniques differ from anonymisation techniques. Pseudonymous data still allows for some form of re-identification (even indirect and remote), while anonymous data cannot be re-identified. ![]() The legal distinction between anonymised and pseudonymised data is its categorisation as personal data. Specifically, the GDPR defines pseudonymization in Article 3, as “the processing of personal data in such a way that the data can no longer be attributed to a specific data subject without the use of additional information.” To pseudonymise a data set, the “additional information” must be “kept separately and subject to technical and organisational measures to ensure non-attribution to an identified or identifiable person.” Data masking: Pseudonymisation or anonymisation? There can be a single pseudonym for a collection of replaced fields or a pseudonym per replaced field. Pseudonymisation enhances privacy by replacing most identifying fields within a data record by one or more artificial identifiers, or pseudonyms. The two techniques differ and in face of the GDPR the choice will depend on the degree of risk and how the data will be processed. If it can be proven that the true identity of the individual cannot be derived from anonymised data, then this data is exempt from other methods ensuring the strict confidentiality of the actual data.
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