A New Powerful Scheme Based on Self Invertible Stabilizer Multiplier Permutation to Find the Minimum Distance for large BCH Codes
American Journal of Computer Science and Technology
Volume 1, Issue 2, June 2018, Pages: 39-43
Received: Jan. 7, 2018;
Accepted: Jan. 17, 2018;
Published: Feb. 21, 2018
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Issam Abderrahman Joundan, Faculty of Sciences Ben M'sik, Hassan II University, Casablanca, Morocco
Said Nouh, Faculty of Sciences Ben M'sik, Hassan II University, Casablanca, Morocco
Abdelwahed Namir, Faculty of Sciences Ben M'sik, Hassan II University, Casablanca, Morocco
In this paper, we present the powerful scheme ZSISMP (Zimmermann Self Invertible Stabilizer Multiplier Permutation) to attack the hardness of the minimum distance search problem of BCH codes. This scheme consists in evaluating the minimum distance of the reduced dimension sub code fixed by a Self Invertible Stabilizer Multiplier Permutation by Zimmermann algorithm. The proposed scheme ZSISMP is validated on all BCH codes of known minimum distance. A comparison with several known powerful techniques proves its efficiency in giving more accurate results in short time. The use of this efficient local search had yield to determine the error correcting capability of many BCH codes of length 1023 and 4095.
Issam Abderrahman Joundan,
A New Powerful Scheme Based on Self Invertible Stabilizer Multiplier Permutation to Find the Minimum Distance for large BCH Codes, American Journal of Computer Science and Technology.
Vol. 1, No. 2,
2018, pp. 39-43.
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