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RK algorithm: stochastic parallel methodology for symmetric key cryptography

Authors: Yegireddi Ramesh; Kiran Kumar Reddi;

RK algorithm: stochastic parallel methodology for symmetric key cryptography

Abstract

With the enormous growth in the Internet and network, data security has become an inevitable concern forany organization. From antecedent security has attracted considerable attention from network researchers. In thisperspective many possible fields of endeavour come to mind with many cryptographic algorithms in a broader way,each is highly worthy and lengthy. As society is moving towards digital information age we necessitate highlystandard algorithms which compute faster when data size is of wide range or scope. On survey, numerous sequentialapproaches carried out by symmetric key algorithms on 128 bits as block size are ascertained to be highly insecurable and resulting at a low speed. As in the course the commodities are immensely parallelized on multi coreprocessors to solve computational problems, in accordance with, propound parallel symmetric key based algorithmsto encrypt/decrypt large data for secure conveyance. The algorithm is aimed to prevail by considering 64 character(512 bits) plain text data, processed 16 characters separately by applying parallelism and finally combine each 16-character cipher data to form 64-character cipher text. The round function employed in the algorithm is verycomplex, on which improves efficacy.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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