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Data intensive and data generative applications are increasingly pervasive, ranging from social networking to multimedia uploads. Thus, storage in the "Cloud" is gaining prominence, where individuals and institutions use distributed storage services whose physical structure and location is mostly unknown to the user. This paper designs coding schemes for Distributed Storage Systems (DSS) that are secure against eavesdroppers, while simultaneously enabling efficient node repair (regeneration). Towards this, novel upper bounds on secrecy capacity for Minimum Storage Regenerating (MSR) codes and Locally Repairable Codes (LRC) are derived.
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