A Study on Fuzzy Keyword Search Over Web Traffic Analysis

Authors

  • S.Baskaran  Head, Department of Computer Science, Tamil University (Established by the Govt.of.Tamilnadu), Thanjavur, Tamil Nadu, India
  • R. Raja  Research Scholar, Department of Computer Science, Tamil University, Thanjavur, Tamil Nadu, India

DOI:

https://doi.org//10.32628/CSEIT195393

Keywords:

Data Processing, Net Traffic, Logs, Net Server Log Analyzers.

Abstract

As Cloud Processing becomes prevailing, extra and extra sensitive and painful information ar being centralized to the cloud. For the defense of data solitude, sensitive and painful data often need to be forced to be secured before outsourcing, which makes efficient data employment a very hard task. however old searchable development systems help a person to strongly research around secured data through keywords and by variety obtain documents of curiosity, these methods help only specific keyword search. That's, there is number patience of slight typos and structure inconsistencies that, on the contrary give, ar common consumer seeking conduct and occur very often. the internet machine traffic evaluation resources construct the employment of web Entry Records that ar created on the machine while an individual is opening the internet site. a web accessibility wood includes of diverse items just as the title of an individual, his IP handle, selection of bytes moved timestamp etc. The job of web traffic evaluation resources becomes harder when the internet traffic quantity is huge and maintains on growing. in this report, we are likely to propose a numerous design to get and analyze beneficial information from the available diary data and conjointly supplies a relative examine of type of Wood analyser resources occur that assists in studying the traffic on web server.

References

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Published

2019-06-30

Issue

Section

Research Articles

How to Cite

[1]
S.Baskaran, R. Raja, " A Study on Fuzzy Keyword Search Over Web Traffic Analysis, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 3, pp.338-343, May-June-2019. Available at doi : https://doi.org/10.32628/CSEIT195393