Security services for remote data management

Rapid advances in storage, computing and networking technologies have resulted in an explosion in the amount of content available online as well as the number of users of this content. The traditional model of data storage is giving way to new paradigms in remote decentralized data storage which are driven by today's data intensive applications. Providing efficient security services that work well with these applications is the main focus of this thesis. We consider two scenarios of the remote data storage model: the "in-house" scenario where the remote storage disks are controlled by the data owner and the more challenging "outsourced" data storage model where the storage infrastructure is controlled by a third-party service provider. For the in-house model, we propose a security architecture and a decentralized group key agreement protocol to enable secure data sharing. For the outsourced data storage model, we propose several cryptographic techniques to maintain the integrity of outsourced data. Specifically, Signature Aggregation and Signature Chaining techniques are proposed to ensure correctness and completeness of queried data. Signature Bouquet technique is proposed to prevent un-authorized distribution of authentic data. We also explore the applicability of proposed techniques in other application domains.