IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Digital Signature Algorithm for M-Payment Applications Using Arithmetic Encoding and Factorization Algorithm

Author(s): Shibin David (Karunya Institute of Technology and Sciences, Coimbatore, India)and G. Jaspher W. Kathrine (Karunya Institute of Technology and Sciences, Coimbatore, India)
Copyright: 2021
Pages: 16
EISBN13: 9781799894056

Purchase

View Digital Signature Algorithm for M-Payment Applications Using Arithmetic Encoding and Factorization Algorithm on the publisher's website for pricing and purchasing information.

View Sample PDF


Abstract

Mobile communication systems employ an encoding-encryption model to ensure secure data transmission over the network. This model encodes the data and encrypts it before transmitting it to the receiver's end. A non-trivial operation is performed to generate a strong secret key through which the data is encrypted. To support the security level of this model, arithmetic encoding is performed upon the data before encryption. The encrypted data is hashed using a lightweight hashing algorithm to generate a small and fixed length hash digest to overcome the overheads before it is communicated to the other end. To authorize the message being sent by the sender to the receiver, signature plays an important role. To avoid forging using proxy signature, blind signature, etc., a hybrid scheme is proposed in this article. The mobile communication system is enhanced by introducing the hybrid encode-encrypt-hashing mechanism which stands secure against the plain text attacks, mathematical attacks, and increases confidentiality of the data, security of the key, and thereby enhances the security of the system. In this paper, the design is applied over the mobile payment system which is considered as one of the appreciable mobile services. It proves that the designed security model can ensure swift transactions in a secure way.

Related Content

Marco Tagliavini, Elisa Ghiringhelli. © 2007. 27 pages.
Beomjin Choi, Nancy Tsai, Tom Jones. © 2009. 16 pages.
Maggi Bansal, Inderveer Chana, Siobhan Clarke. © 2017. 12 pages.
Efrem Mallach. © 2006. 17 pages.
Marcy Kittner, Craig Van Slyke. © 2000. 24 pages.
Body Bottom