Artificial Intelligence Based Mutual Authentication
Technique with Four Entities in 4-G Mobile
Communications
International Journal on Communication, 1 (3):
3 (Dezember 2010)Zusammenfassung
4-G mobile communications system has utilized
high speed data communications technology having
connectivity to all sorts of networks including 2-G and 3-G
mobile networks. Authentication of mobile subscribers and
networks are a prime criterion to check and minimize security
threats and attacks. An artificial intelligence based mutual
authentication system with four entities is proposed. A person
talking salutation or greeting words in different times are
always consisting of a very narrow range of frequencies which
are varying in nature from person to person. Voice frequency
of the salutation or selective words used by a subscriber like
Hello, Good Morning etc is taken as first entity. Second entity
is chosen as frequency of flipping or clapping sound of the
calling subscriber. Then third entity is taken as face image of
the calling subscriber. Fourth entity is granted as probability
of salutation or greeting word from subscriber’s talking habit
(set of salutation words) while initializing a call. These four
entities such as probability of particular range of frequencies
for the salutation word, frequency of flipping sound, face
image matching of the subscriber, particular salutation or
greeting word at the time of starting a call are used with most
frequently, more frequently and less frequently by the calling
subscriber like uncertainty in Artificial Intelligence (AI). Now
different relative grades are assigned for most frequently,
more frequently and less frequently used parameters and the
grades are modified according to the assumed weightage. A
Fuzzy Rule (condition) by Fuzzy operation is invented. If the
results obtained from fuzzy operations are satisfied by the
fuzzy rule, the subscriber (MS) and the network (Switch or
Server) are mutually authenticated in 4-G mobile
communications.