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Digital identity

Information used by computer systems to represent an external agent

  • 21 min read
  • 4 chapters

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Through Computer, Personal data and Digital footprint

Digital identities are composed of the full range of data produced by a person's activities on the internet, which may include usernames and passwords, search histories, dates of birth, social security numbers, and records of online purchases. When such personal information is accessible in the public domain, it can be used by others to piece together a person's offline identity. Furthermore, this information can be compiled to construct a data double, a comprehensive profile created from a person's scattered digital footprints across various platforms. These profiles enable personalized experiences on the internet and within different digital services.

Background

A critical problem in cyberspace is knowing who one is interacting with. Using only static identifiers such as passwords and email, there is no way to precisely determine the identity of a person in cyberspace because this information can be stolen or used by many individuals acting as one. Digital identity based on dynamic entity relationships captured from behavioral history across multiple websites and mobile apps can verify and authenticate identity with up to 95% accuracy.

By comparing a set of entity relationships between a new event (e.g., login) and past events, a pattern of convergence can verify or authenticate the identity as legitimate whereas divergence indicates an attempt to mask an identity. Data used for digital identity is generally encrypted using a one-way hash, thereby avoiding privacy concerns. Because it is based on behavioral history, a digital identity is very hard to fake or steal.

A digital identity may also be referred to as a digital subject or digital entity. They are the digital representation of a set of claims made by one party about itself or another person, group, thing, or concept. A digital twin which is also commonly known as a data double or virtual twin is a secondary version of the original user's data. Which is used both as a way to observe what said user does on the internet as well as customize a more personalized internet experience. Due to the collection of personal data, there have been many social, political, and legal controversies tying into data doubles.

While in manufacturing and other multi-organization environments, digital identity is used to enable secure interactions between separate organizations. For a secure federated digital thread, participating systems rely on verified digital identities to authenticate organizations before exchanging product lifecycle data, supporting trust and controlled data sharing across organizational boundaries.

Attributes, preferences, and traits

The attributes of a digital identity are acquired and contain information about a user, such as medical history, purchasing behavior, bank balance, age, and so on. Preferences retain a user's choices such as favorite brand of shoes, and preferred currency. Traits are features of the user that are inherent, such as eye color, nationality, and place of birth. Although attributes of a user can change easily, traits change slowly, if at all. A digital identity also has entity relationships derived from the devices, environment, and locations from which an individual is active on the Internet. Some of those include facial recognition, fingerprints, photos, and so many more personal attributes/preferences.

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