PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Comparison of selected fast orthogonal parametric transforms in data encryption

Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, we present the results of experimental comparison of fast parametric orthogonal transforms with three popular computational structures with respect to their practical applications to data encryption. The presented results concern the experimental determination of: (1) probability distribution of generating private keys that differ by the given number of bits, (2) probability distribution of signal reconstruction error during the simulation of brute force attack and (3) expected reconstruction error in the function of Hamming distance between private keys.
Rocznik
Strony
55--68
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
autor
  • Lodz University of Technology Institute of Information Technology, Wolczanska 215, 90-924 Lodz, Poland
Bibliografia
  • [1] Agaian S., Tourshan K., Noonan J. P., Parametric Slant-Hadamard Transforms With Applications, IEEE Signal Processing Letters, Vol. 9, No. 11, 2002, pp. 375–377.
  • [2] Minasyan S., Astola J., Guevorkian D., On unified architectures for synthesizing and implementation of fast parametric transforms, 5th International Conference, Information Communication and Signal Processing, 2005, pp. 710– 714.
  • [3] Bouguezel S., Ahmad M.O., A New Class of Reciprocal-Orthogonal Parametric Transforms, IEEE Transactions On Circuits and Systems, Vol. 56, No. 4, 2009, pp. 795–805.
  • [4] Yatsymirskyy M. M., Encryption on the base of FFT algorithm graph, Journal of East Ukrainian National University, No. 9, 2010, pp. 24–29.
  • [5] Tang L., Methods for Encrypting and Decrypting MPEG Video Data Efficiently, 4th ACM International Multimedia Conference, 1996, pp. 219–230.
  • [6] Bhargava B., Shi C., Wang Y., MPEG Video Encryption Algorithms, Multimedia Tools And Applications, Vol. 24, No. 1, 2004, pp. 57–79.
  • [7] Puchala D., Yatsymirskyy M. M., Fast Neural Networks Learning Techniques For Signal Compression, Electrical Review, No. 1, 2010, pp. 189–191.
  • [8] Puchala D., Approximating the KLT by Maximizing the Sum of Fourth-Order Moments, IEEE Signal Processing Letters, Vol. 20, No. 3, 2013, pp. 193–196.
  • [9] Puchala D., Szczepaniak B., Yatsymirskyy M.M., Lattice structure for parallel calculation of orthogonal wavelet transform on GPUs with CUDA architecture, Electrical Review, No. 7, 2015, pp. 52–54.
  • [10] Beneš E.V., Mathematical Theory of Connecting Networks and Telephone Traffic, Academic Press, 1965.
  • [11] Jacymirski M., Szczepaniak P.S., Neural realization of fast linear filters, Mislav Grgić, editor, 4th EURASIP-IEEE Region 8 International Symposium on Video/Image Processing and Multimedia Comm., 2002, pp. 152–157.
  • [12] Ahmed N., Rao K.R., Orthogonal Transforms For Digital Signal Processing, Springer-Verlag, New York, 1975.
  • [13] Puchala D., Stokfiszewski K., Parametrized Orthogonal Transforms For Data Encryption, Computational Problems of Electrical Engineering, No. 2, 2012.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-345ec78c-c96c-478a-be82-dea8e50d4348
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.