In proceedings details

  • Multimodal Indexable Encryption for Mobile Cloud-based Applications
  • Jun 2017
  • In this paper we propose MIE, a Multimodal Indexable Encryption framework that (as far as we know) is the first to allow mobile applications to securely outsource the storage and search of their multimodal data (i.e. data containing multiple media formats) to public clouds with privacy guarantees. MIE is designed as a distributed framework architecture, leveraging on shared cloud repositories that can be accessed simultaneously by multiple users. At its core MIE relies on Distance Preserving Encodings (DPE), a novel family of encoding algorithms with cryptographic properties that we also propose. By applying DPE to multimodal data features, MIE enables high-cost clustering and indexing operations to be handled by the cloud infrastructure in a privacy-preserving way. Experiments show that MIE achieves better performance and scalability when compared to the state of the art, with measurable impact on mobile resource consumption and battery life.
  • IEEE Computer Society
  • Bernardo Ferreira, João Leitão, Henrique Domingos
  • 1 Jun 2017