A Technical Solution for Data Indexing Technology in Plagiarism Checker

Yatheendra KV, Dr. Sudhakara Arabagatte

Abstract: Plagiarism is considered a serious academic and ethical offense, as it undermines the values of originality, honesty, and integrity in academic and creative work Plagiarism detection is the process of locating instances of plagiarism within a work or document. The widespread use of computers and the advent of the Internet have made it easier to plagiarize the work of others. Most cases of plagiarism are found in academia, where documents are typically essays or reports. Here I am working with a team to support their process. Counterfeiting identification is the way toward finding examples of written falsification inside a work or archive. The far - reaching utilization of PCs and the appearance of the Internet have made it less demanding to appropriate the work of others. Most instances of written falsification are found in the scholarly world, where records are regularly articles or reports. Here working with a group to bolster their procedure. We are facing many challenges to develop this sort of software. So, mainly the data indexing methods are very interesting in this case. Here we are exposing how data indexing methodology works using ?Taylor series? formula in cloud - based storage for data indexing.

Keywords: Indexing, Encryption, Data Sequence, Search Key