Designing Secure and Scalable Microservices for Threat Detection: Engineering Patterns from Endpoint Security Platforms
DOI:
https://doi.org/10.15662/d1c1sp21Keywords:
Security, Scalability, Threat, Microservices, PlatformsAbstract
In this paper, Endpoint Detection and Response (EDR) systems are analyzed to enhance the detecting
and responding of a threat using secure and scalable microservices. The study employed quantitative technique
on the basis of experimentation, testing, and data examination. Docker and Kubernetes were used to construct the
system with microservices that were responsible in data ingestion, analytics, and alerts. Various capacities of
microservices and security configurations which included basic TLS, zero-trust, and runtime trust were tested.
Throughput and latency, accuracy of detection, and resource utilization were measured in the study. It was
revealed that throughput enhanced by over 150 percent in microservices over monolithic systems. The error rate
of detection reached 97 percent when there were runtime trust models. Time spent and time taken to recover also
enhanced. The conclusion described in the paper is that EDR systems built on microservices have a greater speed,
security, and scalability. They are also able to achieve goals of governance, compliance in an improved way
compared to traditional set-ups. The study provides research evidence regarding how cloud-native and secure
design patterns could be used to create efficient and reliable threat detection sites.
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