A Novel Approach for Detecting SQL Injection Attacks Using Snort-Reference-Cited by-同舟云学术

A Novel Approach for Detecting SQL Injection Attacks Using Snort

Published:2022-05-22 Issue:5 Volume:103 Page:1443-1451
ISSN:2250-2106
Container-title:Journal of The Institution of Engineers (India): Series B
language:en
Short-container-title:J. Inst. Eng. India Ser. B

Author:

Gupta Alka^ORCID,Sharma Lalit Sen

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s40031-022-00749-z.pdf

Reference15 articles.

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4. S. Anwar, J.M. Zain, M.F. Zolkipli, Z. Inayat, S. Khan, B. Anthony, V. Chang, From intrusion detection to an intrusion response system: fundamentals, requirements and future directions. MDPI Algorithms 10(2), 1–24 (2017)

5. W. Park, S. Ahn, Performance comparison and detection analysis in snort and suricata environment. Wirel. Pers. Commun. 94(2), 241–252 (2017)

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