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Anonymization
Data anonymization is a type of information sanitization whose intent is privacy protection. It is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. Overview Data anonymization has been defined as a "process by which personal data is altered in such a way that a data subject can no longer be identified directly or indirectly, either by the data controller alone or in collaboration with any other party." Data anonymization may enable the transfer of information across a boundary, such as between two departments within an agency or between two agencies, while reducing the risk of unintended disclosure, and in certain environments in a manner that enables evaluation and analytics post-anonymization. In the context of medical data, anonymized data refers to data from which the patient cannot be identified by the recipient of the information. The name, address, and full postcode must be removed, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
K-anonymity
''k''-anonymity is a property possessed by certain anonymized data. The term ''k''-anonymity was first introduced by Pierangela Samarati and Latanya Sweeney in a paper published in 1998, although the concept dates to a 1986 paper by Tore Dalenius. ''k''-anonymity is an attempt to solve the problem "Given person-specific field-structured data, produce a release of the data with scientific guarantees that the individuals who are the subjects of the data cannot be re-identified while the data remain practically useful." A release of data is said to have the ''k''-anonymity property if the information for each person contained in the release cannot be distinguished from at least k - 1 individuals whose information also appear in the release. The guarantees provided by ''k''-anonymity are aspirational, not mathematical. Methods for ''k''-anonymization To use ''k''-anonymity to process a dataset so that it can be released with privacy protection, a data scientist must first examine ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
General Data Protection Regulation
The General Data Protection Regulation (Regulation (EU) 2016/679), abbreviated GDPR, is a European Union regulation on information privacy in the European Union (EU) and the European Economic Area (EEA). The GDPR is an important component of EU privacy law and human rights law, in particular Article 8(1) of the Charter of Fundamental Rights of the European Union. It also governs the transfer of personal data outside the EU and EEA. The GDPR's goals are to enhance individuals' control and rights over their personal information and to simplify the regulations for international business. It supersedes the Data Protection Directive 95/46/EC and, among other things, simplifies the terminology. The European Parliament and Council of the European Union adopted the GDPR on 14 April 2016, to become effective on 25 May 2018. As an EU regulation (instead of a directive), the GDPR has direct legal effect and does not require transposition into national law. However, it also provide ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
De-identification
De-identification is the process used to prevent someone's personal identity from being revealed. For example, data produced during human subject research might be de-identified to preserve the privacy of research participants. Biological data may be de-identified in order to comply with HIPAA regulations that define and stipulate patient privacy laws. When applied to metadata or general data about identification, the process is also known as data anonymization. Common strategies include deleting or masking personal identifiers, such as personal name, and suppressing or generalizing quasi-identifiers, such as date of birth. The reverse process of using de-identified data to identify individuals is known as data re-identification. Successful re-identifications cast doubt on de-identification's effectiveness. A systematic review of fourteen distinct re-identification attacks found "a high re-identification rate ��dominated by small-scale studies on data that was not de-ide ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Pseudonymization
Pseudonymization is a data management and de-identification procedure by which personally identifiable information fields within a data record are replaced by one or more artificial identifiers, or pseudonyms. A single pseudonym for each replaced field or collection of replaced fields makes the data record less identifiable while remaining suitable for data analysis and data processing. Pseudonymization (or pseudonymisation, the spelling under European guidelines) is one way to comply with the European Union's General Data Protection Regulation (GDPR) demands for secure data storage of personal information. Pseudonymized data can be restored to its original state with the addition of information which allows individuals to be re-identified. In contrast, anonymization is intended to prevent re-identification of individuals within the dataset. Clause 18, Module Four, footnote 2 of the Adoption by the European Commission of the Implementing Decisions (EU) 2021/914 “requires r ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
L-diversity
''l''-diversity, also written as ''ℓ''-diversity, is a form of group based anonymization that is used to preserve privacy in data sets by reducing the granularity of a data representation. This reduction is a trade off that results in some loss of effectiveness of data management or mining algorithms in order to gain some privacy. The ''l''-diversity model is an extension of the ''k''-anonymity model which reduces the granularity of data representation using techniques including generalization and suppression such that any given record maps onto at least ''k-1'' other records in the data. The ''l''-diversity model handles some of the weaknesses in the ''k''-anonymity model where protected identities to the level of ''k''-individuals is not equivalent to protecting the corresponding sensitive values that were generalized or suppressed, especially when the sensitive values within a group exhibit homogeneity. The ''l''-diversity model adds the promotion of intra-group diversity for ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Masking And Unmasking By Intelligence Agencies
Unmasking by U.S. intelligence agencies typically occurs after the United States conducts eavesdropping or other intelligence gathering aimed at foreigners or foreign agents, and the name of a U.S. citizen or entity is incidentally collected. Intelligence reports are then disseminated within the U.S. government, with such names masked to protect those U.S. citizens from invasion of privacy. The names can subsequently be unmasked upon request by authorized U.S. government officials under certain circumstances. Unmaskings occur thousands of times each year, totaling 10,012 in 2019. Jargon When an intelligence agency spies on foreign citizens or agents, and information about innocent domestic citizens is uncovered even though they are not targets of investigation, that is called "incidental collection". If the intelligence agency is operating in a manner designed to protect privacy rights, then it normally addresses incidental collection by using a process called "minimization" wh ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Anonymity
Anonymity describes situations where the acting person's identity is unknown. Anonymity may be created unintentionally through the loss of identifying information due to the passage of time or a destructive event, or intentionally if a person chooses to withhold their identity. There are various situations in which a person might choose to remain anonymous. Acts of charity have been performed anonymously when benefactors do not wish to be acknowledged. A person who feels threatened might attempt to mitigate that threat through anonymity. A witness to a crime might seek to avoid retribution, for example, by anonymously calling a crime tipline. In many other situations (like conversation between strangers, or buying some product or service in a shop), anonymity is traditionally accepted as natural. Some writers have argued that the term "namelessness", though technically correct, does not capture what is more centrally at stake in contexts of anonymity. The important idea here is ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Privacy Protection
Privacy engineering is an emerging field of engineering which aims to provide methodologies, tools, and techniques to ensure systems provide acceptable levels of privacy. Its focus lies in organizing and assessing methods to identify and tackle privacy concerns within the engineering of information systems. In the US, an acceptable level of privacy is defined in terms of compliance to the functional and non-functional requirements set out through a privacy policy, which is a contractual artifact displaying the data controlling entities compliance to legislation such as Fair Information Practices, health record security regulation and other privacy laws. In the EU, however, the General Data Protection Regulation (GDPR) sets the requirements that need to be fulfilled. In the rest of the world, the requirements change depending on local implementations of privacy and data protection laws. Definition and scope The definition of privacy engineering given by National Institute of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Sanitization (classified Information)
Redaction or sanitization is the process of removing information sensitivity, sensitive information from a document so that it may be distributed to a broader audience. It is intended to allow the selective disclosure of information. Typically, the result is a document that is suitable for publication or for dissemination to others rather than the intended audience of the original document. When the intent is secrecy, secrecy protection, such as in dealing with classified information, redaction attempts to reduce the document's classification level, possibly yielding an unclassified document. When the intent is privacy, privacy protection, it is often called data anonymization. Originally, the term ''sanitization'' was applied to printed documents; it has since been extended to apply to computer files and the problem of data remanence. Government secrecy In the context of government documents, redaction (also called sanitization) generally refers more specifically to the process ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Medical Record
The terms medical record, health record and medical chart are used somewhat interchangeably to describe the systematic documentation of a single patient's medical history and health care, care across time within one particular health care provider's jurisdiction. A medical record includes a variety of types of "notes" entered over time by healthcare professionals, recording observations and administration of drugs and therapies, orders for the administration of drugs and therapies, test results, X-rays, reports, etc. The maintenance of complete and accurate medical records is a requirement of health care providers and is generally enforced as a licensing or certification prerequisite. The terms are used for the written (paper notes), physical (image films) and digital records that exist for each individual patient and for the body of information found therein. Medical records have traditionally been compiled and maintained by health care providers, but advances in online data sto ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Anonymity
Anonymity describes situations where the acting person's identity is unknown. Anonymity may be created unintentionally through the loss of identifying information due to the passage of time or a destructive event, or intentionally if a person chooses to withhold their identity. There are various situations in which a person might choose to remain anonymous. Acts of charity have been performed anonymously when benefactors do not wish to be acknowledged. A person who feels threatened might attempt to mitigate that threat through anonymity. A witness to a crime might seek to avoid retribution, for example, by anonymously calling a crime tipline. In many other situations (like conversation between strangers, or buying some product or service in a shop), anonymity is traditionally accepted as natural. Some writers have argued that the term "namelessness", though technically correct, does not capture what is more centrally at stake in contexts of anonymity. The important idea here is ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
