Paper
20 September 2022 Simulation study of DDoS attacks and remediation based on OPNET
Fang Wang, Gong Meng, Shenhang Wang, Yanfang Fu, Qiang Li
Author Affiliations +
Proceedings Volume 12261, International Conference on Mechanical Design and Simulation (MDS 2022); 122614W (2022) https://doi.org/10.1117/12.2638651
Event: Second International Conference on Mechanical Design and Simulation (MDS 2022), 2022, Wuhan, China
Abstract
DDoS (Distributed Denial of Service) attacks are easy to implement, difficult to prevent and difficult to track, resulting in widespread DDoS attacks, making them one of the most difficult network security problems to solve and bringing great harm to the network society. However, traditional defence methods suffer from low detection rate of attack detection and link congestion after the attack cannot handle legitimate user requests properly. Therefore, this paper proposes a remediation scheme based on a hybrid mechanism of detection and congestion avoidance defence by simulating a DDoS (Distributed Denial of Service) attack example in a local area network, which is experimentally verified to be effective.
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Fang Wang, Gong Meng, Shenhang Wang, Yanfang Fu, and Qiang Li "Simulation study of DDoS attacks and remediation based on OPNET", Proc. SPIE 12261, International Conference on Mechanical Design and Simulation (MDS 2022), 122614W (20 September 2022); https://doi.org/10.1117/12.2638651
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KEYWORDS
Computer simulations

Defense and security

Process modeling

Network security

Switches

Detection and tracking algorithms

Data modeling

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