Enhancing The Randomness Of Symmetric Key Using Genetic Algorithm

Zakaria, Afiqah Zahirah and Ramli, Sofia Najwa and Wen, Chuah Chai and Mohd Foozy, Cik Feresa and Palaniappan, P. Siva Shamala and Othman, Nur Fadzilah (2019) Enhancing The Randomness Of Symmetric Key Using Genetic Algorithm. International Journal of Innovative Technology and Exploring Engineering, 8 (8S). pp. 327-330. ISSN 2278-3075

Text 2.3.1.1 JURNAL INDEKS SCOPUS - ENHANCING THE RANDOMNESS OF SYMMETRIC KEY.PDF Download (736kB)

Abstract

The focus of network security is to provide the secure, effective and private communication between the sender and the receiver. To achieve the aim of high security of sending information, the improvement in cryptography is needed to make sure the protection of the information against unauthorized users. Symmetric-key cryptography satisfies the constraint of resources in computational complexity performances, but it offers weak security since it is not resilient against physical compromise. One of the way to overcome the issue is by providing a cryptographic key that is strong, hard to break and almost unpredictable by the intruder. As the advancement of technology in Artificial Intelligence (AI), Genetic Algorithm (GA) is implemented to generate the best-fit key in symmetric-key cryptography. Due to natural selection of GA process, the generated key is found to be the most random and non-repeating as possible. Moreover, the fitness test shows the average fitness value of a generated key increases when the key length increases.

Item Type:	Article
Uncontrolled Keywords:	Best-fit key, Genetic algorithm, Randomness, Symmetric-key
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Sabariah Ismail
Date Deposited:	21 Oct 2020 12:48
Last Modified:	21 Oct 2020 12:48
URI:	http://eprints.utem.edu.my/id/eprint/24310
Statistic Details:	View Download Statistic

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