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Proceedings Paper

A noise-immune cryptographic information protection method for facsimile information transmission and the realization algorithms
Author(s): Vladimir G. Krasilenko; Vitaliy F. Bardachenko; Alexander I. Nikolsky; Alexander A. Lazarev; Konstantin V. Ogorodnik
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Paper Abstract

We analyse the existent methods of cryptographic defence for the facsimile information transfer, consider their shortcomings and prove the necessity of better information protection degree. The method of information protection that is based on presentation of input data as images is proposed. We offer a new noise-immune algorithm for realization of this method which consists in transformation of an input frame by pixels transposition according to an entered key. At decoding mode the reverse transformation of image with the use of the same key is used. Practical realization of the given method takes into account noise in the transmission channels and information distortions by scanners, faxes and others like that. We show that the given influences are reduced to the transformation of the input image coordinates. We show the algorithm in detail and consider its basic steps. We show the possibility of the offered method by the means of the developed software. The realized algorithm corrects curvature of frames: turn, scaling, fallout of pixels and others like that. At low noise level (loss of pixel information less than 10 percents) it is possible to encode, transfer and decode any types of images and texts with 12-size font character. The software filters for information restore and noise removing allow to transfer fax data with 30 percents pixels loss at 18-size font text. This percent of data loss can be considerably increased by the use of the software character recognition block that can be realized on fuzzy-neural algorithms. Examples of encoding and decryption of images and texts are shown.

Paper Details

Date Published: 18 April 2006
PDF: 7 pages
Proc. SPIE 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, 62410Z (18 April 2006); doi: 10.1117/12.667285
Show Author Affiliations
Vladimir G. Krasilenko, Open International Univ. of Human Development (Ukraine)
Vitaliy F. Bardachenko, Institute of Cybernetics (Ukraine)
Alexander I. Nikolsky, Open International Univ. of Human Development (Ukraine)
Alexander A. Lazarev, Open International Univ. of Human Development (Ukraine)
Konstantin V. Ogorodnik, Open International Univ. of Human Development (Ukraine)

Published in SPIE Proceedings Vol. 6241:
Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006
Belur V. Dasarathy, Editor(s)

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