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SQLiGoT: Detecting SQL injection attacks using graph of tokens and SVM

  • Published:2016-07 Issue: Volume:60 Page:206-225
  • ISSN:0167-4048
  • Container-title:Computers & Security
  • language:en
  • Short-container-title:Computers & Security

Author:

Kar DebabrataORCID,Panigrahi Suvasini,Sundararajan Srikanth

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference61 articles.

1. Event-based Alert Correlation System to Detect SQLI Activities;Alserhani,2011

2. VeriWeb: Automatically Testing Dynamic Web Sites;Benedikt,2002

3. Profiling Database Application to Detect SQL Injection Attacks;Bertino,2007

4. NoTamper: Automatic Blackbox Detection of Parameter Tampering Opportunities in Web Applications;Bisht,2010

5. CANDID: dynamic candidate evaluations for automatic prevention of SQL injection attacks;Bisht;ACM Trans Inf Syst Secur (TISSEC),2010

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2. An Enhanced Mechanism for Protecting Web Applications from Cross Site Request Forgery (CSRF);British Journal of Computer, Networking and Information Technology;2024-01-02

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4. SQL Injection Attack Detection and Prevention Based on Manipulating the SQL Query Input Attributes;Computational Sciences and Sustainable Technologies;2024

5. AdvSQLi: Generating Adversarial SQL Injections Against Real-World WAF-as-a-Service;IEEE Transactions on Information Forensics and Security;2024
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