BACKWARD: A Victim-Centric DDoS Detection and Mitigation Scheme in Programmable Data Plane

Seoyul Oh, Sol Han, Hochan Lee, Sangheon Pack

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Citations (Scopus)

    Abstract

    Most current volumetric DDoS detection and mitigation schemes utilizing data plane programmability are source-based, yet it is challenging to identify an attacker through source analysis because a large number of widespread sources are exploited by the attacker. In this paper, we propose BACKWARD, a victim-centric DDoS attack detection and mitigation scheme that first identifies the victim of the DDoS attack and then only blocks sources that contacted the victim. We implement BACKWARD using the P4 language and present experimental results, which show that BACKWARD is able to achieve higher accuracy in identifying and blocking the attackers compared to the source-based scheme.

    Original languageEnglish
    Title of host publication2023 IEEE 20th Consumer Communications and Networking Conference, CCNC 2023
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages989-990
    Number of pages2
    ISBN (Electronic)9781665497343
    DOIs
    Publication statusPublished - 2023
    Event20th IEEE Consumer Communications and Networking Conference, CCNC 2023 - Las Vegas, United States
    Duration: 2023 Jan 82023 Jan 11

    Publication series

    NameProceedings - IEEE Consumer Communications and Networking Conference, CCNC
    Volume2023-January
    ISSN (Print)2331-9860

    Conference

    Conference20th IEEE Consumer Communications and Networking Conference, CCNC 2023
    Country/TerritoryUnited States
    CityLas Vegas
    Period23/1/823/1/11

    Bibliographical note

    Funding Information:
    ACKNOWLEDGMENT This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2022-2021-0-01810) supervised by the IITP(Institute for Information Communications Technology Planning Evaluation) and in part by National Research Foundation (NRF) of Korea Grant funded by the Korean Government (MSIT) (No. 2020R1A2C3006786).

    Publisher Copyright:
    © 2023 IEEE.

    Keywords

    • DDoS Attack
    • Network Security
    • P4
    • Programmable Data Planes

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications
    • Computer Vision and Pattern Recognition
    • Electrical and Electronic Engineering

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