Artificial Intelligence Based Mutual Authentication Technique with Biometric Entities in 3-G Mobile Communications
An artificial intelligence based mutual authentication system with four entities is developed keeping any eye to enhancing threat and hacking in mobile network. Since voice frequency lies between 0-3.5KHz, a person talking some specific word in different times is always consisting of a very narrow range of frequencies which are varying person to person. Voice frequency of the salutation or selective words used by a subscriber at the beginning of conversation like hello, good morning, namaskar, etc. is taken as first entity for authentication purpose.