Data-Mining and Hashing to Prevent Application-Layer DDoS and SQL Injection Attacks
Author:
Affiliation:
1. University of Reading,Department of Computer Science,Reading,UK
2. German Research Center for Artificial Intelligence GmbH (DFKI),Lower Saxony,Oldenburg,Germany,26129
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10149846/10150436/10150694.pdf?arnumber=10150694
Reference14 articles.
1. Cryptanalysis the SHA-256 Hash Function using Rainbow Tables
2. Detecting SQL injection attacks using query result size
3. SQL injection detection and prevention tools assessment;tajpour;2010 3rd International Conference on Computer Science and Information Technology,0
4. WebAppShield: an approach exploiting machine learning to detect SQLi attacks in an application layer in run-time;ashlam;World Academy of Science Engineering and Technology [Computer and Information Engineering],2022
5. Multi-Phase Algorithmic Framework to Prevent SQL Injection Attacks using Improved Machine learning and Deep learning to Enhance Database security in Real-time
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