Bifrost: A Secure, Scalable and Efficient File Sharing System Based on Dual Deduplication

Hadi Sehat, Daniel E. Lucani, Elena Pagnin

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

Abstract

We consider the problem of sharing sensitive files across users while relying on a common, untrusted third-party, e.g., a Cloud Storage Provider (CSP). Although users can rely on a secure peer-to-peer (P2P) channel for file sharing, this introduces potential delay on the data transfer and requires the sender to remain connected while the transfer process occurs. Instead, users can upload information about the file on a common CSP and share only the essential information that enables the receiver to recover the original file. However, using encryption to protect the uploaded information from the untrusted cloud hinders deduplication capabilities, which is undesirable for CSPs. This paper introduces Bifrost, an innovative file sharing method inspired by recent results on dual deduplication. Bifrost achieves secure file sharing using an untrusted cloud, and simultaneously guarantees that (1) the CSP can efficiently deduplicate outsourced data; (2) the secure P2P channel is used only to transmit short, but crucial information; (3) users can check for data integrity, i.e., detect if the CSP alters the outsourced data; and (4) only the sender and the intended receiver can recover the sensitive file, i.e., the cloud or no malicious adversary can infer useful information about the shared file. We analyze compression and bandwidth performance using a proof-of-concept implementation. Our experiments show that secure file sharing can be achieved by sending as little as 640 bits on the P2P channel, irrespective of file size, while the CSP that aids the sharing can enjoy a deduplication rate of 86.9 %.

Original languageEnglish
Title of host publicationProceedings of the 2022 IEEE Conference on Cloud Networking 2022, CloudNet 2022
EditorsStefano Secci, Ramakrishnan Durairajan, Leonardo Linguaglossa, Noriaki Kamiyama, Michele Nogueira, Stephane Rovedakis
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages203-210
Number of pages8
ISBN (Electronic)9781665486279
DOIs
Publication statusPublished - 2022
Event11th IEEE International Conference on Cloud Networking, CloudNet 2022 - Paris, France
Duration: 2022 Nov 72022 Nov 10

Conference

Conference11th IEEE International Conference on Cloud Networking, CloudNet 2022
Country/TerritoryFrance
CityParis
Period2022/11/072022/11/10

Subject classification (UKÄ)

  • Computer Engineering

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