Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time-Reference-Cited by-同舟云学术

Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time

Published:2022-11-11 Issue: Volume: Page:
ISSN:
Container-title:2022 15th International Conference on Security of Information and Networks (SIN)
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Author:

Ashlam Ahmed Abadulla¹,Badii Atta¹,Stahl Frederic²

Affiliation:

1. University of Reading,Department of Computer Science,Reading,UK

2. German Research Center for Artificial Intelligence GmbH (DFKI),NiedersachsenOldenburg,Germany,26129

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9970488/9970489/09970504.pdf?arnumber=9970504

Reference19 articles.

1. Defeating SQLi on Preventing Run Time Attacks|;pullagura;International Journal of Science & Technology,2014

2. A Novel Approach Exploiting Machine Learning to Detect SQLi Attacks

3. A secure coding approach for prevention of SQLi attacks;gautam;International Journal of Applied Engineering Research,2018

4. Applied machine learning predictive analytics to SQLi attack detection and prevention;uwagbole;2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) IM,0

5. A multilevel system to mitigate DDOS, brute force and SQLi attack for cloud security;patil;2017 International Conference on Information Communication Instrumentation and Control (ICICIC),0

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