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Generator of Slow Denial-of-Service Cyber Attacks.

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This study introduces a novel generator for eleven major slow denial-of-service (DoS) attacks, crucial for identifying network vulnerabilities. The research enhances cybersecurity by enabling better testing and mitigation of these sophisticated cyber threats.

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Area of Science:

  • Cybersecurity
  • Network Security
  • Computer Science

Background:

  • Cyber attacks, particularly denial-of-service (DoS) attacks, pose significant financial and data security risks.
  • Slow DoS attacks are challenging to detect due to their low data flow, mimicking legitimate slow connections.
  • A lack of comprehensive tools hinders the effective testing of slow DoS vulnerabilities.

Purpose of the Study:

  • To develop and implement an advanced attack generator for eleven major slow DoS attacks.
  • To create a comprehensive tool for testing network protocol, server, and service vulnerabilities.
  • To analyze the security of widely used web servers against slow DoS attacks.

Main Methods:

  • Implementation of eleven major slow DoS attack types.
  • Development of an advanced attack generator for vulnerability testing.
  • Establishment of an experimental environment for generator testing.
  • Security analysis of five prevalent web servers.

Main Results:

  • Successful implementation and testing of the advanced slow DoS attack generator.
  • Identification of vulnerabilities in five major web servers.
  • Demonstration of the generator's capability to simulate realistic slow DoS attack scenarios.

Conclusions:

  • The developed generator provides a comprehensive solution for testing slow DoS vulnerabilities.
  • The findings highlight the need for enhanced preventive and detection techniques for slow DoS attacks.
  • The generator serves as a valuable tool for improving the cybersecurity of network systems.