MoPS: A Modular Protection Scheme for Long-Term Storage
This work addresses data security risks in cloud storage for users needing long-term protection, but it appears incremental as it builds on existing techniques without a major breakthrough.
The authors tackled the problem of ensuring long-term data authenticity and integrity in outsourced storage by introducing MoPS, a modular protection scheme that supports customizable techniques for different application scenarios, and they implemented it with performance measurements.
Current trends in technology, such as cloud computing, allow outsourcing the storage, backup, and archiving of data. This provides efficiency and flexibility, but also poses new risks for data security. It in particular became crucial to develop protection schemes that ensure security even in the long-term, i.e. beyond the lifetime of keys, certificates, and cryptographic primitives. However, all current solutions fail to provide optimal performance for different application scenarios. Thus, in this work, we present MoPS, a modular protection scheme to ensure authenticity and integrity for data stored over long periods of time. MoPS does not come with any requirements regarding the storage architecture and can therefore be used together with existing archiving or storage systems. It supports a set of techniques which can be plugged together, combined, and migrated in order to create customized solutions that fulfill the requirements of different application scenarios in the best possible way. As a proof of concept we implemented MoPS and provide performance measurements. Furthermore, our implementation provides additional features, such as guidance for non-expert users and export functionalities for external verifiers.