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Personal data, also known as personal information or personally identifiable information (PII), [1] [2] [3] is any information related to an identifiable person. The abbreviation PII is widely used in the United States , but the phrase it abbreviates has four common variants based on personal or personally , and identifiable or identifying .
Data sanitization has a wide range of applications but is mainly used for clearing out end-of-life electronic devices or for the sharing and use of large datasets that contain sensitive information. The main strategies for erasing personal data from devices are physical destruction, cryptographic erasure, and data erasure.
All data transmitted to and from users must pass through the ISP. Thus, an ISP has the potential to observe users' activities on the Internet. ISPs can breach personal information such as transaction history, search history, and social media profiles of users. Hackers could use this opportunity to hack ISPs and obtain sensitive information of ...
Confidential information is used in a general sense to mean sensitive information whose access is subject to restriction, and may refer to information about an individual as well as that which pertains to a business. However, there are situations in which the release of personal information could have a negative effect on its owner.
A data breach, also known as data leakage, is "the unauthorized exposure, disclosure, or loss of personal information". [1]Attackers have a variety of motives, from financial gain to political activism, political repression, and espionage.
The standard requires effective security measures that protect sensitive (personal) data and other assets, such as command and control data. It also requires that security vulnerabilities in the software have been eliminated, security principles, such as defense-in-depth have been followed, and the security of the software has been verified ...
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Before the Schrems II ruling, pseudonymization was a technique used by security experts or government officials to hide personally identifiable information to maintain data structure and privacy of information. Some common examples of sensitive information include postal code, location of individuals, names of individuals, race and gender, etc.