Abstract: A system for providing a secure, collaborative, and distributed computing environment as well as a repository for secure data storage and sharing, the system comprising: FHE manager software residing on a trusted client computer that is configured to generate and store encryption and decryption keys in a memory store; configurations manager software residing on the trusted client computer that is configured to track dynamically-changing cloud resources; an untrusted server in an untrusted cloud environment; a plurality of untrusted, physical, distributed processing nodes where no decryption or encryption functions occur at the processing nodes; a machine learning (ML) manager configured to manage ML algorithms in the processing nodes, wherein the untrusted server is permitted to perform cloud management but not trusted to manipulate the data in plaintext thereby enabling collaborative and secure processing, editing, and merging of the data.

Abstract: A system and method that automatically detects anomalies in a cloud service system on an ongoing basis and which can be used to trigger live migration of cloud services includes a cloud server system configured to provide a plurality of virtualized cloud services through processes running over a set of virtual machines hosted on the cloud server system, and a processor which receives data related to the operations of the virtual machines and determines whether any of the virtual machines are exhibiting anomalous behavior. The processor applies a Kalman Filter to make predictions on the future state and covariance of the virtual machines and then calculates the log likelihood of the predicted values. If the predicted values deemed to be very unlikely, then the processor signals that an anomaly has occurred.