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DDoS Flood and Destination Service Changing Sensor.

Fu-Hau Hsu1, Chia-Hao Lee1, Chun-Yi Wang1

  • 1Department of Computer Science and Information Engineering, National Central University, No.300, Zhongda Rd., Zhongli District, Taoyuan City 320, Taiwan.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
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This study introduces a novel kernel-based mechanism for detecting and defending against distributed denial of service (DDoS) attacks, including SYN and ICMP floods, without requiring client-side operating system modifications.

Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Security

Background:

  • Distributed Denial of Service (DDoS) attacks pose a significant threat to network availability.
  • Existing defense mechanisms often require complex configurations or client-side modifications.
  • Real-time detection and mitigation are crucial for effective DDoS defense.

Purpose of the Study:

  • To develop a novel kernel-based mechanism for detecting and mitigating DDoS attacks.
  • To enable immediate notification and response to destination service changes during attacks.
  • To implement a lightweight detection system without requiring extensive client-side OS modifications.

Main Methods:

  • Designed a kernel-based mechanism to intelligently establish Transmission Control Protocol/Internet Protocol (TCP/IP) connections.
Keywords:
DDoS attackTCP three-way handshakelive migrationloadable kernel modulenetwork security

Related Experiment Videos

  • Implemented a lightweight flooding attack detection system in the user mode.
  • Replaced system call table entries with a customized sys_connect function for transparent integration.

    • Main Results:

    • Successfully detected flooding DDoS attacks, specifically SYN flood and ICMP flood.
    • The mechanism operates without user or client awareness of host location changes.
    • Demonstrated effective DDoS defense through cooperation with a specific low-cost network architecture.

    Conclusions:

    • The novel mechanism provides effective detection of common flooding DDoS attacks.
    • The kernel-based approach offers a practical solution without widespread OS reinstallation.
    • This method enhances network security by enabling prompt and efficient DDoS mitigation.