Version 1
: Received: 26 February 2019 / Approved: 27 February 2019 / Online: 27 February 2019 (11:47:18 CET)
Version 2
: Received: 18 March 2019 / Approved: 20 March 2019 / Online: 20 March 2019 (15:43:30 CET)
Version 3
: Received: 28 January 2022 / Approved: 31 January 2022 / Online: 31 January 2022 (12:57:32 CET)
Okello, M. O. (2022). Optimal Covert Communication Techniques . International Journal of Informatics and Applied Mathematics , 5 (1) , 1-26 . DOI: 10.53508/ijiam.1073205
Okello, M. O. (2022). Optimal Covert Communication Techniques . International Journal of Informatics and Applied Mathematics , 5 (1) , 1-26 . DOI: 10.53508/ijiam.1073205
Okello, M. O. (2022). Optimal Covert Communication Techniques . International Journal of Informatics and Applied Mathematics , 5 (1) , 1-26 . DOI: 10.53508/ijiam.1073205
Okello, M. O. (2022). Optimal Covert Communication Techniques . International Journal of Informatics and Applied Mathematics , 5 (1) , 1-26 . DOI: 10.53508/ijiam.1073205
Abstract
Steganography is the branch of cryptology that deals with concealing information inside another information. it’s prefer over cryptography as it hides a message inside another innocent looking message, while cryptography shows scrambled message that might arouse attention of an attacker, however the challenges in steganography is the modification of carrier that causes some abnormalities which is detectable and often the methods are not optimize. This paper presents a novel approach in cryptography and steganography, which utilizes mathematical concept of bits combination to optimize time of transmission using sets of multiple transmitter, and receiver’s addresses where each abstractly represents a bits combination without itself modified. In addition, the paper introduces a concept of dynamical clockwise and anti-clockwise rotation of bits combination over addresses after every transmission to reinforce resistivity against steganalysis.
Keywords
General Mathematics, Combinatorial, Algebra, Steganography, Probability, Cryptography
Subject
Computer Science and Mathematics, Computer Vision and Graphics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
