Cryptographic Algorithm Using Matrix Inversion as Data Protection

Authors

  • Peter B. Zirra Department of Mathematical Sciences Adamawa State Universiti Mubi, Nigeria
  • G.M. Wajiga Department of Mathematics and Computer Science, Federal Universiti of Technology Yola, Nigeria

DOI:

https://doi.org/10.32890/jict2011.10.4

Keywords:

Cryptographic algorithms, Delta encoding, Newton’s method, Inversion matrix, Non-linear equations, Decryption key, Cryptanalyst

Abstract

This study aimed at providing algorithms to secure sensitive information in store or in transit via unsecure channels from the hands of the Internet criminals by scrambling the sensitive information into a set of linear equations in matrix form and deciphering by solving the systems of the linear equations in conjunction with the principles of the delta encoding scheme, a formula and a lookup alphanumeric position table. The algorithms were tested with samples of real data and the result practically demonstrated how systems of non-linear equations turned into linear equations are indeed of relevance in providing strong and complex encryption and decryption keys to protect sensitive information in store or in transit via unsecure channels. The proposed algorithms ensured that unauthorized users do not have access to sensitive and classified documents stored or transmitted to an intended recipient without a secret key. This means that, there is confidentiality, non-repudiation and integrity of our sensitive and classified information from the hands of unauthorized users on the Internet because of the robustness of the proposed algorithms.

 

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Published

18-04-2011

Issue

Vol. 10 (2011): Journal of Information and Communication Technology (JICT) Vol. 10, 2011

Section

Articles

How to Cite

Zirra, P. B., & Wajiga, G. (2011). Cryptographic Algorithm Using Matrix Inversion as Data Protection. Journal of Information and Communication Technology, 10, 67-83. https://doi.org/10.32890/jict2011.10.4

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Harvested 2026-09-22
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Identifiers DOI 10.32890/jict2011.10.4