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Pseudonymization Vs Anonymization

Learn the difference, from key-coding to irreversible alterations, and discover how each method ensures your data's safety.

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Pseudonymization Vs Anonymization

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  1. #learntorise PSEUDONYMIZATION ANONYMIZATION DATA PROTECTION TECHNIQUES Swipe www.infosectrain.com

  2. #learntorise DEFINITION Pseudonymization Anonymization Anonymization involves an irreversible alteration of personal data. It aims to eliminate personal identifiers and make it permanently impossible to deduce an individual's identity from the remaining data. Processing personal data in a way that makes it impossible to identify the individual to whom it belongs, as long as the necessary identifying information is stored separately and securely. Swipe www.infosectrain.com

  3. #learntorise EXAMPLE Original Data Set (Before Pseudonymization) Original Data Set (Before Anonymization) • Patient Name: Jack Smith • Address: 123 Main St, Springfield • Medical History: Diabetic, Hypertension • Treatment Outcome: Positive response to medication Contains patient names, ages, recovery times, and specific post-surgery complications. Swipe www.infosectrain.com

  4. #learntorise PROCESS Pseudonymization Anonymization Key-Coding: Each patient's identifiable information (like name and address) is replaced with a unique code. Removal of Identifiers: All names and any other identifiable information (like specific ages) are removed. EXAMPLE Aggregation: Data is aggregated to show only the average recovery time and common complications without linking to specific ages or cases. • Patient Code: JD-001 (replaces Jack Smith) • Address Code: ADDR-456 (replaces 123 Main St, Springfield) Data Storage: The key linking the codes to the actual patient information is stored securely and separately from the pseudonymized data. Swipe www.infosectrain.com

  5. #learntorise OUTCOME After Pseudonymization After Anonymization • Patient Code: JD-001 • Address Code: ADDR-456 • Medical History: Diabetic, Hypertension • Treatment Outcome: Positive response to medication The clinic can share this information for broader medical research without risking patient privacy, as individual patients cannot be identified from the provided data. Swipe www.infosectrain.com

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