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Chaotic Variations of AES Algorithm

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 30 Jun 2013Embargo end date: 01 Jan 2013Publisher:Academy and Industry Research Collaboration Center (AIRCC)Journal:International Journal of Chaos, Control, Modelling and Simulation, volume 2, pages 19-25 (issn: 2319-8990, eissn: 2319-5398,

Authors: Chittaranjan Pradhan; Ajay Kumar Bisoi;

doi: 10.5121/ijccms.2013.2203 , 10.5281/zenodo.3381977 , 10.5281/zenodo.3381978 , 10.48550/arxiv.1307.3057

arXiv: http://arxiv.org/abs/1307.3057

Chaotic Variations of AES Algorithm

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Abstract

Advanced Encryption Standard (AES) algorithm is considered as a secured algorithm. Still, some security issues lie in the S-Box and the key used. In this paper, we have tried to give focus on the security of the key used. Here, the proposed modified algorithms for the AES have been simulated and tested with different chaotic variations such as 1-D logistic chaos equation, cross chaos equation as well as combination of both. For the evaluation purpose, the CPU time has been taken as the parameter. Though the variations of AES algorithms are taking some more time as compared to the standard AES algorithm, still the variations can be taken into consideration in case of more sensitive information. As we are giving more security to the key used for AES algorithm, our proposed algorithms are very much secured from unauthorized people

Related Organizations

KIIT University
India

Keywords

FOS: Computer and information sciences, Computer Science - Cryptography and Security, Cryptography and Security (cs.CR), AES Algorithm, 1-D Logistic Chaotic Equation, Cross-Chaos, Encryption, Decryption.

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	10
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average