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Coding theory and Computational hardness assumption

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Coding theory and Computational hardness assumption

Coding theory vs. Computational hardness assumption

Coding theory is the study of the properties of codes and their respective fitness for specific applications. In computational complexity theory, a computational hardness assumption is the hypothesis that a particular problem cannot be solved efficiently (where efficiently typically means "in polynomial time").

Similarities between Coding theory and Computational hardness assumption

Coding theory and Computational hardness assumption have 3 things in common (in Unionpedia): Cryptography, Information-theoretic security, One-time pad.

Cryptography

Cryptography or cryptology (from κρυπτός|translit.

Coding theory and Cryptography · Computational hardness assumption and Cryptography · See more »

Information-theoretic security

Information-theoretic security is a cryptosystem whose security derives purely from information theory.

Coding theory and Information-theoretic security · Computational hardness assumption and Information-theoretic security · See more »

One-time pad

In cryptography, the one-time pad (OTP) is an encryption technique that cannot be cracked, but requires the use of a one-time pre-shared key the same size as, or longer than, the message being sent.

Coding theory and One-time pad · Computational hardness assumption and One-time pad · See more »

The list above answers the following questions

Coding theory and Computational hardness assumption Comparison

Coding theory has 124 relations, while Computational hardness assumption has 73. As they have in common 3, the Jaccard index is 1.52% = 3 / (124 + 73).

References

This article shows the relationship between Coding theory and Computational hardness assumption. To access each article from which the information was extracted, please visit:

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