Impact of Defending Strategy Decision on DDoS Attack
Author(s) -
Chunming Zhang
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/6694383
Subject(s) - denial of service attack , application layer ddos attack , computer science , computer security , trinoo , selection (genetic algorithm) , function (biology) , denial , the internet , artificial intelligence , world wide web , psychology , evolutionary biology , psychoanalysis , biology
Distributed denial-of-service (DDoS) attack is a serious threat to cybersecurity. Many strategies used to defend against DDoS attacks have been proposed recently. To study the impact of defense strategy selection on DDoS attack behavior, the current study uses logistic function as basis to propose a dynamic model of DDoS attacks with defending strategy decisions. Thereafter, the attacked threshold of this model is calculated. The existence and stability of attack-free and attacked equilibria are proved. Lastly, some effective strategies to mitigate DDoS attacks are suggested through parameter analysis.
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