Volume 18, Number 2

Analysis and Visualization of Cloud Native Attacks in a Secure Testbed

  Authors

Subbulakshmi T, Adithyan P, Sidharth M and Arun Santhosh R A, Vellore Institute of Technology, India

  Abstract

Cloud computing has revolutionized modern-day digital infrastructure for large-scale application deployments. However its widespread adoption has brought in significant cybersecurity vulnerabilities also which also pose new and emerging threats to native cloud environments.Although there are many attack detection models, their suitability and stability are weakening day by day due to the lack of cloud-native or newer datasets which are designed to contain newer attack data. Our cloud native attack dataset sets a new standard towards a dataset including 22 of the most common attacks faced by cloud servers and instances. A visual analysis of those attacks is generated to provide a visual difference between the behavior of the various attack types by classifying them into clusters based on the nature of attacks and through usage data of various parameters such as port usage and protocol usage. In this paper we have designed a cloud-native dataset creation model generated with controlled cloud instances to adopt a cloudnative approach and the visualization of the generated attacks. Hence, this cloud-native attack dataset can surely be helpful to the research community in validating and training their new models.

  Keywords

Cloud-native security, attack dataset, network intrusion detection, protocol exploitation, AWS, Cybersecurity