Automatic Whitelist Generation for SQL Queries Using Web Application Test

Authors

  • Venkati Mane  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
  • Jayesh Trivedi  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
  • Manalikamble  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
  • Shital Janjal  Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India
  • Prof. Vandana Chavan  Professor Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegaon, Maharashtra India

Keywords:

NLP, Languages and compilers, Optimization, Verification, Voice Recognisation, Machine-independent microcode generation

Abstract

In this survey paper the proposed system will enable secure access of data to a voice- based user interface (UI) by enabling voice-based authentication and integration with an existing Natural Language Processing (NLP) system. This survey paper focuses on voice based SQL query generation. We study the question of how to improve the fetching the results from query results as well as applying the query to the database. Traditional predefined query forms are not able to satisfy various ad-hoc queries from users on those databases. Here, we propose Machine learning based technique to generate the SQL query based on user voice, a novel database query form interface, which is able to dynamically generate query forms.

References

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International Journal of Scientific Research in Science and Technology

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Published

2020-12-18

Issue

Volume 5, Issue 8, November-December-2020

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Venkati Mane, Jayesh Trivedi, Manalikamble, Shital Janjal, Prof. Vandana Chavan, " Automatic Whitelist Generation for SQL Queries Using Web Application Test, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 5, Issue 8, pp.76-79, November-December-2020.