Paper
8 June 2012 Data mining technique for a secure electronic payment transaction using MJk-RSA in mobile computing
Ramesh Babu G. V., Narayana G., Sulaiman A., Padmavathamma M.
Author Affiliations +
Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83342J (2012) https://doi.org/10.1117/12.956424
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia
Abstract
Due to the evolution of the Electronic Learning (E-Learning), one can easily get desired information on computer or mobile system connected through Internet. Currently E-Learning materials are easily accessible on the desktop computer system, but in future, most of the information shall also be available on small digital devices like Mobile, PDA, etc. Most of the E-Learning materials are paid and customer has to pay entire amount through credit/debit card system. Therefore, it is very important to study about the security of the credit/debit card numbers. The present paper is an attempt in this direction and a security technique is presented to secure the credit/debit card numbers supplied over the Internet to access the E-Learning materials or any kind of purchase through Internet. A well known method i.e. Data Cube Technique is used to design the security model of the credit/debit card system. The major objective of this paper is to design a practical electronic payment protocol which is the safest and most secured mode of transaction. This technique may reduce fake transactions which are above 20% at the global level.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramesh Babu G. V., Narayana G., Sulaiman A., and Padmavathamma M. "Data mining technique for a secure electronic payment transaction using MJk-RSA in mobile computing", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83342J (8 June 2012); https://doi.org/10.1117/12.956424
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KEYWORDS
Computing systems

Computer security

Internet

Network security

Data modeling

Data mining

Human-machine interfaces

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