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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(4): 427-430 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.159

M-Commerce Security Using Random LSB Steganography and Cryptography

Pratiksha Y. Pawar and S. H. Gawande

Abstract—M-commerce is one of the main branches of e-commerce. The banking industry is among the leading sectors in adopting and utilizing the Internet and mobile technology on consumer markets. Mobile banking is a subset of electronic banking which underlies not only the determinants of the banking business but also the special conditions of mobile commerce. The development of electronic banking and mobile banking services via multiple channels has made it possible to create new kinds of added value for customers. However, in spite of their advantages, both are facing some challenges as well. One of these challenges is the issue of security of these systems. This paper presents security of these systems using Random LSB steganography and cryptography method. The proposed method is more safe and secure instead of using either steganography or cryptographic method. This paper shows secure and invisible communication in M-banking as well as e-banking. In this paper instead of direct sending information, it is encrypted first using encryption algorithm and then this encrypted information is processed to hide into an image using a password so that stego-image contains hidden message which is not in plaintext form. Another important point is that encrypted information is hidden into an image using “Random LSB Steganography” that is embedding data in non sequential LSB insertion pattern so that it is unintelligible and difficult to detect. The stego-image is put on a web site then the URL of the web site is sent to the user. After receiving the URL, the user downloads the picture by a special program. The user can extract information from the picture only if the password entered is correct. This information will be in encrypted form user will decrypt it using the decryption algorithm so that user will get required information. The proposed scheme has been implemented using J2EE language for e-banking and J2ME language for m-banking. Our implementation supports all java enabled mobiles for m-banking application.

Index Terms—M-commerce, M-banking, E-commerce; E-banking, steganography, cryptography.

Authors are with the Department of Computer Engineering, Government College of Engineering & Research, Awasari, Pune, India (e-mail:patu_pawar@yahoo.co.in; shgawande@yahoo.co.in).

[PDF]

Cite: Pratiksha Y. Pawar and S. H. Gawande, "M-Commerce Security Using Random LSB Steganography and Cryptography," International Journal of Machine Learning and Computing vol. 2, no. 4, pp. 427-430, 2012.

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