A Novel Approach to Generate Symmetric Key in Cryptography Using Genetic Algorithm (GA)

Chunka, Chukhu; Goswami, Rajat Subhra; Banerjee, Subhasish

doi:10.1007/978-981-13-1951-8_64

Cited by 10 publications

(2 citation statements)

References 13 publications

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“…There is 2 n possible combination for the n bit size of the key. If the key size is long, it would be infeasible to find the secret information [21]. We can estimate the time that how long it would take to crack the cipher or determine the secret key.…”

Section: Bruteforce Attackmentioning

confidence: 99%

Enhancing the Security of Vigenere and Polybius Hybrid Cryptography System using Modified Linear Congruential Generation Algorithm

Muhammed,

Tsegaye,

Woldegiorgis

2024

Preprint

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In the arena of security, various encryption algorithms are used to protect information transmitted through insecure channels. Employing a hybrid encryption algorithm provides a strong defense and complicates the decryption process for potential intruders. A hybrid cipher system that combines the Vigenere and Polybius ciphers has proven to be more secure than each cipher alone. One strategy to bolster cipher security involves generating distinct cipher text results for the same plain text and key during different instances. However, hybrid algorithm faces vulnerable to different cryptanalysis attacks such as frequency analysis attack, brute force attack and dictionary attack due to the use of repeating nature of the Vigenere key and unmodified Polybius table for encryption. To address these challenges, we propose an algorithm introducing dynamic cipher text, a random key generated through a modified linear congruential generation algorithm, and a randomized Polybius table for each character using the Randi function. Simulation results demonstrate that the proposed algorithm achieves enhanced security metrics, supporting a 96% of avalanche effect, improved confusion and diffusion properties, a mere 1.54 % average occurrence of character in the cipher text, and a 0.01839 index of coincidence value. Therefore, the proposed algorithm outperforms existing hybrid algorithms in terms of security.

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Section: Bruteforce Attackmentioning

confidence: 99%

Enhancing the Security of Vigenere and Polybius Hybrid Cryptography System using Modified Linear Congruential Generation Algorithm

Muhammed,

Tsegaye,

Woldegiorgis

2024

Preprint

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“…Matrix computations, XOR operation, and DNA hybridization Internet Two-part of a key generation scheme 2015 117,118 Proposed a public-key cryptography implementation using G.A. cryptography.…”

Section: Symmetric Key Cryptographymentioning

confidence: 99%

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

Thabit

Can

Wani

et al. 2023

Concurrency and Computation

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SummaryCloud computing (CC) refers to the on‐demand availability of network resources, particularly data storage and processing power, without requiring special or direct administration by users. CC, which just made its debut as a collection of public and private data centers, provides clients with a unified platform throughout the Internet. Cloud computing has revolutionized the world, opening up new horizons with bright potential due to its performance, accessibility, low cost, and many other benefits. Due to the exponential rise of cloud computing, systems based on cloud computing now require an effective data security mechanism. Comprehensive security policies, corporate security culture, and cloud security solutions are used to ensure the level of cloud data security. Many techniques exist to protect data communication in the cloud environment, including encryption. Encryption algorithms play an important role in information security systems and various cloud computing‐based systems. Current researchers have focused on lightweight cryptography, genetics‐based cryptography, and machine learning (ML) algorithms for security in CC. This review study analyses CC security threats, problems, and solutions that use one or more algorithms. The work discusses several lightweight cryptographies, genetics‐based cryptography and different ML algorithms that are used to overcome cloud security issues, including supervised, unsupervised, semi‐supervised, and reinforcement learning. Moreover, we enlist future research directions to secure CC models.

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Low-Cost Energy Efficient Encryption Algorithm for Portable Device

Alam

Kaiser

2023

Lecture Notes in Networks and Systems

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A Novel Approach to Generate Symmetric Key in Cryptography Using Genetic Algorithm (GA)

Cited by 10 publications

References 13 publications

Enhancing the Security of Vigenere and Polybius Hybrid Cryptography System using Modified Linear Congruential Generation Algorithm

Enhancing the Security of Vigenere and Polybius Hybrid Cryptography System using Modified Linear Congruential Generation Algorithm

Data security techniques in cloud computing based on machine learning algorithms and cryptographic algorithms: Lightweight algorithms and genetics algorithms

Low-Cost Energy Efficient Encryption Algorithm for Portable Device

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