The last five years have been marked by an explosion of Internet-connected devices. From cars to solar power, from TVs to juice makers, modern life is filled with interconnected smart devices. But while those ubiquitous devices enhance the interaction with the technology that surrounds us, the lifecycle management of IoT firmware and poor security design choices also present a significant threat to our daily lives.
Despite the ascent of threats like the Mirai botnet, the amount of published research around how to programmatically detect new IoTs in the wild has been somewhat limited.
In this presentation we introduce data engineering in the context of cyber security, discuss why it is important to move away from the view that security log pipelines are enrichment and indicator matching tools, and push the boundaries of “Simple Event Processing” to demonstrate how Apache NiFi and Apache MiNiFi’s feature-rich data flows can be used to dynamically identify new IoT botnet activities in the wild.