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Title

A Review of Methods to Prevent DDOS Attacks Using NFV and SDN

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Abstract

 Denial-of-service attacks are always one of the most widespread security attacks at the enterprise network level. In DDOS attacks, a large amount of false demand is intentionally sent to the target network to disable the service. In DDOS attacks, the target server faces many demands, not from a specific source, but from different locations of the attack, which makes detection and defense more difficult. With the introduction of network functions virtualization and Software-defined networking, a new route, for network design and management, has been created. The purpose of this research is to investigate and compare DDOS attack defense methods using NFV and SDN. The details provided will help researchers in this field familiarize themselves with DDOS attack defense methods and choose the appropriate design for their actual implementations.

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    APA: Copy

    Shayegan, Mohammad Javad, & Damghanian, Amirreza. (). . . SID. https://sid.ir/paper/1046858/en

    Vancouver: Copy

    Shayegan Mohammad Javad, Damghanian Amirreza. . . Available from: https://sid.ir/paper/1046858/en

    IEEE: Copy

    Mohammad Javad Shayegan, and Amirreza Damghanian, “,” presented at the . , [Online]. Available: https://sid.ir/paper/1046858/en

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    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
    مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources
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