[P] Machine Learning Threat Detection in k8s

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • microservices-demo

    Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

    Well, what is considered "real" data here? Why couldn't you simply set up a managed k8s cluster with some prometheus monitoring and run the microservices-demo on it. There is even a synthetic load generator. You could purposefully add in specific kinds of faults into the working system, ones that are supported in metasploit so you can automate intrusions. Consider some goals for gaining access like: exfiltration, denial of service, ransomware. Then consider how you might detect such attacks purely from what you can read out of the prometheus time series data (eg. high egress traffic plus high req/s to redis might mean an exfiltration).

  • Metasploit

    Metasploit Framework

    Well, what is considered "real" data here? Why couldn't you simply set up a managed k8s cluster with some prometheus monitoring and run the microservices-demo on it. There is even a synthetic load generator. You could purposefully add in specific kinds of faults into the working system, ones that are supported in metasploit so you can automate intrusions. Consider some goals for gaining access like: exfiltration, denial of service, ransomware. Then consider how you might detect such attacks purely from what you can read out of the prometheus time series data (eg. high egress traffic plus high req/s to redis might mean an exfiltration).

  • PopRuby

    PopRuby: Clothing and Accessories for Ruby Developers. Fashion meets Ruby! Shop our fun Ruby-inspired apparel and accessories designed to celebrate the joy and diversity of the Ruby community.

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