Abstract—Authentication of mobile subscriber’s messages is a challenging issue for future researchers due to increasing security threats and attacks. Next generation mobile communication system has been developed for introducing several new messaging systems having increased volume of data. In the entire authentication techniques in mobile communications, the authenticity of a subscriber is checked by the server or switch at the starting time up of communication (call). These authentication techniques are based on application of cryptographic algorithms and functions for subscriber’s authentication, but do not provide any message authentication method. In this paper, we propose an artificial intelligence based subscriber message authentication scheme. Message server performs a feasibility study of subscriber writing characteristics i.e. writing habit or style from subscriber’s past messages. It assigns different relative grades according to the appearance in the past messages i.e. frequency of sentences, idioms with salutation words and phrasal verbs appearing like most frequently, more frequently, less frequently used sentences, idioms with salutations and phrasal verbs in those messages. It ascertains the theory of artificial intelligence and thereof derives fuzzy sets from the relative grades which are obtained from number of occurrence of those sentences or idioms or phrasal verbs in a message. Now applying fuzzy operations on fuzzy sets, the server or switch validates the authenticity of a subscriber. This paper also reports how human intelligence can be efficiently introduced to a message server for checking authenticity of the subscribers.

Index Terms—Artificial Intelligence, Fuzzy Set, Fuzzy Operation, Message Server, Message Authentication.

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, IEEE, CSTA and IAENG. (phone: +91-9434535556; email: chandan_durgapur@yahoo.com).
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 is a Member of IACSIT, IAENG, CSTA, IAPQR, ISTE and IE. (phone: +91-33-25954148; email: pijushbhatta_6@hotmail.com).
Chandan Tilak Bhunia is a Director, Bengal Institute of Technology and Management, Santiniketan, P.O. Doranda, West Bengal, Pin-731236, India. He is a Senior Member of IEEE, FIE (I) and FIETE. (phone: +91-9434033157; email: ctbhunia@vsnl.com).
Ujjwal Maulik is currently a Professor in the Department of Computer Science and Technology, Jadavpur University, Kolkata, India. He is a Senior Member of IEEE and FIE(I). (phone: +91-33-24131766; email: ujjwal_maulik@yahoo.com).

Cite: Chandan Koner, Pijush Kanti Bhattacharjee, Chandan Tilak Bhunia and Ujjwal Maulik, "A Novel Artificial Intelligent Based Message  Authentication  Technique  in  Mobile  Communications,"  International  Journal  of
Computer and Electrical Engineering vol. 2, no. 3, pp. 511-515, 2010.