Authenticity

=​Authenticity = = From the Itgs guide: = authenticity means establishing the users i dentity beyond reasonable doubt. authenticating the users is crucial in many situations, particularly in business and legal matters. a simple example of authentification is user login onto a network. a more advanced example would be the use of incriptated didgital signatures in a business transaction.

Authenticity Examples:
[|Digital Signature] Face Recognition Iris and Retinal Identification Speech Recogniton

A **digital signature** or **digital signature scheme** is a mathematical scheme for demonstrating the authenticity of a digital message or document. A valid digital signature gives a recipient reason to believe that the message was created by a known sender, and that it was not altered in transit. Digital signatures are commonly used for software distribution, financial transactions, and in other cases where it is important to detect forgery and tampering.
 * __Digital Signature:__**

A **facial recognition system** is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. Retinal scanners are typically used for authentication and identification purposes. Retinal scanning has been utilized by several government agencies including the FBI, CIA, and NASA. However, in recent years, retinal scanning has become more commercially popular. Retinal scanning has been used in prisons, for ATM identity verification and the prevention of welfare fraud.Retinal scanning also has medical applications. Communicable illnesses such as AIDS, syphilis, malaria, chicken pox and Lyme disease as well as hereditary diseases like leukemia, lymphoma, and sickle cell anemia impact the eyes. Pregnancy also affects the eyes. Likewise, indications of chronic health conditions such as congestive heart failure, atherosclerosis, and cholesterol issues first appear in the eyes. References: ​
 * __Facial recognition:__**
 * __Iris and retinal identification:__**
 * __Speech recognition:__**
 * Speech recognition** (also known as **automatic speech recognition** or **computer speech recognition**) converts spoken words to machine-readable input (for example, to key presses, using the binary code for a string of character codes). The term "voice recognition" is sometimes used to refer to speech recognition where the recognition system is trained to a particular speaker - as is the case for most desktop recognition software, hence there is an aspect of speaker recognition, which attempts to identify the person speaking, to better recognise what is being said. Speech recognition is a broad term which means it can recognise almost anybodys speech - such as a callcentre system designed to recognise many voices. Voice recognition is a system trained to a particular user, where it recognises their speech based on their unique vocal sound.