Artificial Intelligence Based Authentication Technique With Three Entities in 3-G Mobile Communications
Voice frequency pattern is asymmetric just like nature. Although voice frequency lies between 0-3.5 KHz, 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 selective words used by the subscriber at the beginning of conversation like Hello, Good Morning, Namaskar etc is taken as first entity for authentication purpose. The authors propose second entity as probability of salutation or greeting word from subscriber's talking habit (set of salutation words) whiles the subscriber starts a call. Third entity is chosen as probable location (place) of the subscriber from the selective locations at the time of initializing a call i.e. distance between the subscriber and the network.