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

Detecting fraudulent activity in a cloud using privacy-friendly data aggregates