Mathematical Approaches to Cryptographic System Design

In the digital age, cryptographic systems are the most important part of safe communication. To protect data security, confidentiality, and validity, they need strong design frameworks. The math methods used in this paper are very important for designing and analyzing secure systems. As basic ideas, it looks at number theory, math, and complexity theory, with an emphasis on both old and new methods. Some important topics are the creation of prime numbers, modular arithmetic, elliptic curves, and finite fields, which are the basis for many encryption methods. The paper also talks about how complexity theory can be used to measure the strength of cryptography. It specifically talks about issues with discrete logarithms and integer factorization, which are at the heart of popular protocols like RSA and ECC. It also looks into lattice-based cryptography, which is seen as a strong option to quantum threats, and shows how hard it is to solve lattice issues. The study also looks at the design principles of symmetric cryptography, mainly block ciphers and stream ciphers, and how they use permutation groups and linear algebra to make sure that key plans and spread methods are safe. The paper also looks at secure hash functions, focusing on collision resistance, pre-image resistance, and how they are made using mathematics concepts such as Merkle-Damgård and sponge functions. Advanced topics like homomorphic encryption and zero-knowledge proofs show how mathematics and cryptography are increasingly coming together. They show how they can be used to make operations safe on protected data and privacy-preserving protocols. This paper gives a full picture of how mathematical theories and methods are used to build strong cryptographic systems by combining strict mathematical models with real-world cryptographic needs. The discussion stresses that the field is always changing because of new threats and improvements in computers. It also calls for constant scientific progress to make cryptography stronger against future problems.

Authors

Publication Details

Journal
Panamerican mathematical journal.
Published
2024-10-07
DOI
https://doi.org/10.52783/pmj.v34.i4.1899
Citations
10
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
2.49
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article

Mathematical Approaches to Cryptographic System Design

Manoj Tarambale
10 citations
Panamerican mathematical journal.
Chaos-based Image/Signal Encryption
2.49
article

Mathematical Approaches to Cryptographic System Design

Manoj Tarambale
article en
10 citations

Abstract

In the digital age, cryptographic systems are the most important part of safe communication. To protect data security, confidentiality, and validity, they need strong design frameworks. The math methods used in this paper are very important for designing and analyzing secure systems. As basic ideas, it looks at number theory, math, and complexity theory, with an emphasis on both old and new methods. Some important topics are the creation of prime numbers, modular arithmetic, elliptic curves, and finite fields, which are the basis for many encryption methods. The paper also talks about how complexity theory can be used to measure the strength of cryptography. It specifically talks about issues with discrete logarithms and integer factorization, which are at the heart of popular protocols like RSA and ECC. It also looks into lattice-based cryptography, which is seen as a strong option to quantum threats, and shows how hard it is to solve lattice issues. The study also looks at the design principles of symmetric cryptography, mainly block ciphers and stream ciphers, and how they use permutation groups and linear algebra to make sure that key plans and spread methods are safe. The paper also looks at secure hash functions, focusing on collision resistance, pre-image resistance, and how they are made using mathematics concepts such as Merkle-Damgård and sponge functions. Advanced topics like homomorphic encryption and zero-knowledge proofs show how mathematics and cryptography are increasingly coming together. They show how they can be used to make operations safe on protected data and privacy-preserving protocols. This paper gives a full picture of how mathematical theories and methods are used to build strong cryptographic systems by combining strict mathematical models with real-world cryptographic needs. The discussion stresses that the field is always changing because of new threats and improvements in computers. It also calls for constant scientific progress to make cryptography stronger against future problems.

Panamerican mathematical journal.Vol. 34(4)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Chaos-based Image/Signal Encryption
2.49
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Mathematical Approaches to Cryptographic System Design — Manoj Tarambale · Panamerican mathematical journal. (2024) | TGRS Research Map | TGRS