A Comparative Analysis of Cloud-Native Security Models and Their Efficacy Against Distributed Denial of Service Attacks

Challa Naga Satya Sri Varshini

Authors

Challa Naga Satya Sri Varshini Cloud Infrastructure Engineer, USA Author

Keywords:

Cloud-native security, Distributed Denial of Service, DDoS mitigation, container security, cloud computing, automated defenses, zero trust architecture

Abstract

The proliferation of cloud-native applications has intensified the need for robust security frameworks to counter Distributed Denial of Service (DDoS) attacks. This paper examines contemporary cloud-native security models, assessing their design principles, mechanisms, and efficacy in mitigating DDoS threats. Through a comparative review of six models, this research identifies key strengths and limitations, emphasizing the importance of scalability, automation, and machine learning in enhancing defense mechanisms. The findings provide a foundation for future advancements in cloud-native security.

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