An Autonomous Agent Based Incident Detection System for Cloud Environments
Frank Doelitzscher, Christoph Reich, Martin Knahl, Nathan Clarke · 2011
Classic intrusion detection mechanisms are not flexible enough to cope with cloud specific characteristics such as frequent infrastructure changes. This makes them unable to address new cloud specific security issues. In this paper we introduce the cloud incident detection system Security Audit as a Service (SAaaS). It is build upon intelligent autonomous agents, which are aware of underlying business flows of deployed cloud instances. Business flows are modelled in form of Security Service Level Agreements, which enable the SAaaS architecture to be flexible and to supported cross customer event monitoring of a cloud infrastructure. As contribution of this paper we provide a high-level design of the SAaaS architecture, an introduction into the concept of Security Service Level Agreements, a first prototype of an autonomous agent and an evaluation about, which cloud specific security problems are addressed by the presented architecture.