Encryption Matrices are commonly used to encrypt data. Here is a simple form such an encryption can take. First, we represent each letter in the alphabet by a number, so let us take = 0, A = 1, B= 2 and so on. Thus, for example, "ABORT MISSION" becomes [1 2 15 18 20 0 13 9 19 19 9 15 14]. To encrypt this coded phrase, we use an invertible matrix of any size with integer entries. For instance, let us take A to be the [²3] We can first arrange the coded sequence of numbers in the form of a matrix with two rows (using zero in the last place if we have an odd number of characters) and then multiply on the left by A. [1 15 20 13 19 9 14 Encrypted Matrix = 18 0 9 19 15 0 2 x 2 matrix which we can also write as 10 102 40 62 114 78 28] 7 69 20 40 76 54 14' [10 7 102 69 40 20 62 40 114 76 78 54 28 14]. To decipher the encoded message, multiply the encrypted matrix by A-1. The following exercise uses the above matrix A for encoding and decoding. Use the matrix A to encode the phrase "GO TO PLAN B".
Encryption Matrices are commonly used to encrypt data. Here is a simple form such an encryption can take. First, we represent each letter in the alphabet by a number, so let us take = 0, A = 1, B= 2 and so on. Thus, for example, "ABORT MISSION" becomes [1 2 15 18 20 0 13 9 19 19 9 15 14]. To encrypt this coded phrase, we use an invertible matrix of any size with integer entries. For instance, let us take A to be the [²3] We can first arrange the coded sequence of numbers in the form of a matrix with two rows (using zero in the last place if we have an odd number of characters) and then multiply on the left by A. [1 15 20 13 19 9 14 Encrypted Matrix = 18 0 9 19 15 0 2 x 2 matrix which we can also write as 10 102 40 62 114 78 28] 7 69 20 40 76 54 14' [10 7 102 69 40 20 62 40 114 76 78 54 28 14]. To decipher the encoded message, multiply the encrypted matrix by A-1. The following exercise uses the above matrix A for encoding and decoding. Use the matrix A to encode the phrase "GO TO PLAN B".
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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