DataLair: Efficient Block Storage with Plausible Deniability against Multi-Snapshot Adversaries

  • Chakraborti A
  • Chen C
  • Sion R
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Abstract

Sensitive information is present on our phones, disks, watches and computers. Its protection is essential. Plausible deniability of stored data allows individuals to deny that their device contains a piece of sensitive information. This constitutes a key tool in the fight against oppressive governments and censorship. Unfortunately, existing solutions, such as the now defunct TrueCrypt [5], can defend only against an adversary that can access a user’s device at most once (“single-snapshot adversary”). Recent solutions have traded significant performance overheads for the ability to handle more powerful adversaries able to access the device at multiple points in time (“multi-snapshot adversary”). In this paper we show that this sacrifice is not necessary. We introduce and build DataLair1, a practical plausible deniability mechanism. When compared with existing approaches, DataLair is two orders of magnitude faster for public data accesses, and 5 times faster for hidden data accesses. An important component in DataLair is a new write-only ORAM construction which improves on the complexity of the state of the art write-only ORAM by a factor of O ( logN ), where N denotes the underlying storage disk size.

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APA

Chakraborti, A., Chen, C., & Sion, R. (2017). DataLair: Efficient Block Storage with Plausible Deniability against Multi-Snapshot Adversaries. Proceedings on Privacy Enhancing Technologies, 2017(3), 179–197. https://doi.org/10.1515/popets-2017-0035

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