Optimized Crypto Table-Based Key Generation for Enhanced Security against Brute-Force and Frequency Analysis Attacks
Optimized Crypto Table-Based Key Generation for Enhanced Security against Brute-Force and Frequency Analysis Attacks |
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| © 2025 by IJETT Journal | ||
| Volume-73 Issue-7 |
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| Year of Publication : 2025 | ||
| Author : Syed Usman Basha, Brintha Rajakumari S | ||
| DOI : 10.14445/22315381/IJETT-V73I7P139 | ||
How to Cite?
Syed Usman Basha, Brintha Rajakumari S, "Optimized Crypto Table-Based Key Generation for Enhanced Security against Brute-Force and Frequency Analysis Attacks," International Journal of Engineering Trends and Technology, vol. 73, no. 7, pp.505-521, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I7P139
Abstract
Cryptographic security remains a crucial research topic due to the increasing complexity of cyber threats. Existing key generation methods are vulnerable to frequency analysis and brute-force attacks, as they often exhibit similarities. High levels of randomness in key creation are essential to strengthen encryption safeguards and protect sensitive information from cryptanalytic attacks. Existing key generation techniques frequently have predictable structures and low entropy, allowing attackers to anticipate key patterns. Frequency analysis attacks identify recurring patterns, compromising encryption security. Brute-force attacks exploit these weaknesses by systematically attempting every possible key. To address these challenges, a novel system is needed one that maintains computational efficiency while enhancing volatility and unpredictability. This study proposes an optimal key generation technique using Crypto Tables that employ dynamic yet structured modifications to increase key uncertainty. The system integrates adaptive key generation methods, non-deterministic transformation operations, and entropy enhancement techniques to minimise vulnerabilities. The primary objective of this research is to develop a robust key generation technique that enhances security against statistical analysis and brute-force attacks. The study compares the efficiency of Crypto Tables with existing methods and evaluates their ability to generate unpredictable keys. Experimental data indicate that the proposed technique effectively eliminates detectable patterns by significantly increasing key randomness. Security analyses show that higher entropy and an expanded key space enhance resistance to brute-force attacks. Comparative results demonstrate that the proposed system surpasses existing cryptographic strength and unpredictability methods.
Keywords
Cryptographic security, Key generation, Crypto tables, Brute-force attacks, Frequency analysis, Entropy enhancement, Non-deterministic mapping, Encryption mechanisms, Cyber threats, Randomness optimization.
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