  More users and companies make use of cloud services every day. They all
expect a perfect performance and any issue to remain transparent to them. This
last statement is very challenging to perform. A user's activities in our cloud
can affect the overall performance of our servers, having an impact on other
resources. We can consider these kind of activities as fraudulent. They can be
either illegal activities, such as launching a DDoS attack or just activities
which are undesired by the cloud provider, such as Bitcoin mining, which uses
substantial power, reduces the life of the hardware and can possibly slow down
other user's activities. This article discusses a method to detect such
activities by using non-intrusive, privacy-friendly data: billing data. We use
OpenStack as an example with data provided by Telemetry, the component in
charge of measuring resource usage for billing purposes. Results will be shown
proving the efficiency of this method and ways to improve it will be provided
as well as its advantages and disadvantages.

Cryptography and Security;Artificial Intelligence;Distributed, Parallel, and Cluster Computing