True Negative
True negative, also known as specificity, is the ratio of correctly identified non-fraud cases to total non-fraud cases. A true negative test result is one that does not detect the condition when the condition is absent. It is an outcome where the model correctly predicts the negative class, for example if a disease test correctly identifies a healthy person as not having that disease.
True Positive
A “true positive” occurs when something innocent is wrongly deemed suspicious. Card issuers have developed sophisticated, automated fraud detection systems that work by detecting activities and patterns associated with fraud, but these systems don't work perfectly.This differs from false positives, which are negative results that a system incorrectly marks as positive.
Trust
A trust is a fiduciary connection where one person places some type of trust, confidence, or reliance on another person. The person who is delegated that trust and confidence would then have a fiduciary duty to act for the benefit and interest of the other party. The party who owes a duty to act for the best interest of the other party is called the fiduciary. The party to whom the duty is owed are called principal. The main purpose for fiduciary connection is to establish an honest and trusted relationship between two parties where one party can rely and be confident that the other person is working for their interest and are not using their power for their own interest or the interest of a third party.
Trusted Third-Party
In cryptography, a Trusted Third-Party (TTP) is an entity which facilitates interactions between two parties who both trust the third party; the Third Party reviews all the critical transaction communications between the parties. TTPs are ordinary in profitable transactions, cryptographic digital transactions, and in cryptographic protocols.