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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/21786
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dc.contributor.authorBehera P.K.-
dc.contributor.authorGangopadhyay, Sugata-
dc.contributor.editorPant M.-
dc.contributor.editorSharma T.K.-
dc.contributor.editorArya R.-
dc.contributor.editorSahana B.C.-
dc.contributor.editorZolfagharinia H.-
dc.date.accessioned2022-03-02T11:41:07Z-
dc.date.available2022-03-02T11:41:07Z-
dc.date.issued2020-
dc.identifier.citationAdvances in Intelligent Systems and Computing (2020), 1154: 381-390-
dc.identifier.isbn9.78981E+12-
dc.identifier.issn21945357-
dc.identifier.urihttps://doi.org/10.1007/978-981-15-4032-5_35-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/21786-
dc.description.abstractThe cryptographic primitives such as S-Box and permutation layer are primary building blocks for designing block cipher. Since S-Box is the only nonlinear component in a block cipher, it is essential to select secure S-Boxes. The security of any block cipher depends upon the cryptographic properties of an S-Box and the lower bound of the number of active S-Boxes. Apart from S-Boxes, there are several other cryptographic primitives such as permutation layer plays a significant role in increasing the security of block cipher. Since the search space is huge for constructing S-Box, it is very difficult to find a good S-Box. The problem of finding and evolving an S-Box is an optimization problem. The purpose of our research work is to give a systematic review of how evolutionary techniques can be applied for constructing such cryptographic primitives, challenges of achieving optimal results, and opportunities for applying new techniques or fine-tuning several control parameters to improve the performance of an existing algorithm. In this paper, we discuss the genetic algorithm and memetic algorithm for constructing an bijective S-Box with important cryptographic properties. We address the challenges and future direction of the currently ongoing research. © 2020, Springer Nature Singapore Pte Ltd.-
dc.language.isoen_US-
dc.publisherSpringer-
dc.relation.ispartofAdvances in Intelligent Systems and Computing-
dc.relation.ispartof4th International Conference on Soft Computing: Theories and Applications, SoCTA 2019-
dc.subjectBlock cipher-
dc.subjectGenetic algorithm (GA)-
dc.subjectMemetic algorithm (MA)-
dc.subjectS-Box-
dc.titleEvolutionary Computing for Designing Cryptographic Primitives for Block Cipher: Challenges and Opportunities-
dc.typeConference Paper-
dc.scopusid57207911296-
dc.scopusid55999031500-
dc.affiliationBehera, P.K., Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationGangopadhyay, S., Indian Institute of Technology Roorkee, Roorkee, India-
dc.description.correspondingauthorBehera, P.K.; Indian Institute of Technology RoorkeeIndia; email: pbehera@cs.iitr.ac.in-
dc.identifier.conferencedetails4th International Conference on Soft Computing: Theories and Applications, SoCTA 2019, 27 - 29, December, 2019-
Appears in Collections:Conference Publications [CS]

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