Big Data Processing and Access Controls in Cloud Environment

Several customers access the data in a cloud environment. Security of such data for storing, processing, retrieving, and updating in the cloud environment is critical. If the data is sensitive, access level for every step takes primary responsibility of cloud provider. Currently, the communication of internet-enabled devices (IED) is processing big data and require cloud environment due to their limited storage, processing, and energy capabilities (battery). Encryption is the primary security for transmitting the data from IED's to the cloud, but there is no access control for the data stored in the cloud. Kerberos, a third party authentication protocol, builds on symmetric key (cryptography basis) to allow the nodes for non-secure information, but it does not provide the access control on stored data and other management of the data in the cloud. Because of the current status of the cloud access facilities, this paper builds an event-based access control model for the variety of users and the analysis of messages from social media data, text data, and continuously generated data. In trials, the event-based model was applied to identify the spikes in data (messages or stored data) and decisions based on spikes in the data in a window of time.