Abstract—The mobile technology revolutionizes the world of communications opening up new possibilities for mobile commerce through Location based Advertising. Disclosing user location or personal information is major privacy issue in these applications. In this paper, we introduce a new User Privacy Preferences framework for Geo-Calendar based SMS. SMS block is based on Textese Vocabulary, Current Location, and Schedule. The algorithm consists of four phases namely Rule Analyzer, Intelligent Text Miner, Log Filer, SMS dispatcher. Simulated experiments were conducted by collecting large number of training data sets for text classification. The results prove the prediction accuracy of text classifier and also provide high location privacy for user based on both content and location based attacks.

Index Terms—Location based SMS, privacy preferences, SMS classification, content based mining, location based advertising, GIS, and location based services, GPS.

K. B. P. Iyer is with the Research Scholar, Sathyabama University.Associate Professor, M.O.P Vaishnav College for Women (Autonomous), Chennai, India (e-mail: priya_balu_2002@yahoo.co.in).
V. Shanthi is with the St. Joseph College of Engineering, Chennai, India(e-mail: drvshanthi@yahoo.co.in).

Cite: K. B. Priya Iyer and V. Shanthi, "Privacy Preferences for Geo-Calendar Based SMS Using Intelligent Text Configurator," International Journal of Computer and Communication Engineering vol. 2, no. 1, pp. 82-85 , 2013.