Xanthus: Push-button Orchestration of Host Provenance Data Collection

HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing Stockholm Sweden June, 2020(2020)

引用 4|浏览107
暂无评分
摘要
Host-based anomaly detectors generate alarms by inspecting audit logs for suspicious behavior. Unfortunately, evaluating these anomaly detectors is hard. There are few high-quality, publicly-available audit logs, and there are no pre-existing frameworks that enable push-button creation of realistic system traces. To make trace generation easier, we created Xanthus, an automated tool that orchestrates virtual machines to generate realistic audit logs. Using Xanthus' simple management interface, administrators select a base VM image, configure a particular tracing framework to use within that VM, and define post-launch scripts that collect and save trace data. Once data collection is finished, Xanthus~creates a self-describing archive, which contains the VM, its configuration parameters, and the collected trace data. We demonstrate that Xanthus~hides many of the tedious (yet subtle) orchestration tasks that humans often get wrong; Xanthus~avoids mistakes that lead to non-replicable experiments.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要