—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 ~ 3.5 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 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. Second entity is chosen as frequency of flipping or clapping sound of the subscriber at the time of initializing a call. Then third entity is taken as face image of the calling subscriber. We propose fourth entity as probability of salutation or greeting word from subscriber’s talking habit (set of salutation words) whiles the subscriber starts 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 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 weightage. We invent a Fuzzy Rule (condition) by Fuzzy operation. If the results obtained from fuzzy operations are satisfied by the invented fuzzy rule, the subscriber (MS) and the network (MSC or PDSN) are mutually authenticated in 3-G mobile communications.
—Flipping sound, Fuzzy operation Mutual authentication, Salutation word, USIM
Pijush Kanti Bhattacharjee is an Assistant Professor in the Department of Electronics and Communication Engineering, Bengal Institute of Technology and Management, Santiniketan, P.O. Doranda, West Bengal, Pin-731236, India. He was an Ex Asssitant Director in the Department of Telecommunications (DoT), Government of India, India. He has possessed vast working experience in the field of Telecommunications including Mobile Communications, Image Processing, Network Security, VLSI etc. He is a member of IACSIT, IAENG, CSTA, IE, ISTE, IAPQR. (phone: +91-33-25954148; email: email@example.com).
Chandan Koner is an Assistant Professor in the Department of Computer Science and Engineering, Bengal Institute of Technology and Management, Santiniketan, P.O. Doranda, West Bengal, Pin-731236, India. He is pursuing PhD course. He is member of IACSIT and IAENG. (phone: +91-9434535556; email: firstname.lastname@example.org).
Chandan Tilak Bhunia is a Director, Bengal Institute of Technology and Management, Santiniketan, P.O. Doranda, West Bengal, Pin-731236, India. He is a FIE(I), FIETE and Senior Member of IEEE. (phone: +91- 9434033157; email: email@example.com).
Ujjwal Maulik is currently a Professor in the Department of Computer Science and Technology, Jadavpur University, Kolkata, India. He is a FIE(I) and Senior Member of IEEE. (phone: +91-33-24131766; email: firstname.lastname@example.org).
Cite: Pijush Kanti Bhattacharjee, Chandan Koner, Chandan Tilak Bhunia and Ujjwal Maulik, "Artificial Intelligence Based Mutual Authentication Technique with Biometric Entities in 3-G Mobile Communications," International Journal of Computer Theory and Engineering
vol. 2, no. 2, pp. 205-210, 2010.