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Canary: a Scalable Content Integrity Verifying Protocol for ICN

Published: 24 September 2019 Publication History

Abstract

The per-packet signature mechanism in NDN is a basic mechanism to provide in-network security. Consumers can validate provenance and integrity with the public key-based signature attached with each Data packet. However, the creation and validation processes of signature cause significant performance bottlenecks in both of consumers and producers. The embedded manifest mechanism was proposed to ease the signing overhead for streaming data producers; a signed manifest packet being composed of digests of subsequent Data packets is inserted per bundle of Data packet while each Data packet has only its digest as SignatureInfo. For a large file, the embedded manifest mechanism still needs producers to sign multiple manifest packets. The basic idea of proposed mechanism, Canary, is to enable per-segment provenance and data integrity validation with only one signing operation of producers even for a large file by exploiting the properties of Merkle tree.

References

[1]
Van Jacobson, Diana K Smetters, James D Thornton, Michael F Plass, Nicholas H Briggs, and Rebecca L Braynard. 2009. Networking named content. In Proceedings of the 5th international conference on Emerging networking experiments and technologies. ACM, 1--12.
[2]
Xavier Marchal, Thibault Cholez, and Olivier Festor. 2016. Server-side performance evaluation of NDN. In Proceedings of the 3rd ACM Conference on Information-Centric Networking. ACM, 148--153.
[3]
Ilya Moiseenko. 2014. Fetching content in Named Data Networking with embedded manifests. NDN, Tech. Rep. NDN-0025 (2014).
[4]
Stefa Lederer. 2015. Optimal Adaptive Streaming Formats MPEG-DASH HLS Segment Length. https://bitmovin.com/mpeg-dash-hls-segment-length [Online; accessed 22-August-2019].
[5]
Wikipedia contributors. 2019. Merkle tree --- Wikipedia, The Free Encyclopedia. https://en.wikipedia.org/w/index.php?title=Merkle_tree&oldid=911089346 [Online; accessed 22-August-2019].

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      cover image ACM Conferences
      ICN '19: Proceedings of the 6th ACM Conference on Information-Centric Networking
      September 2019
      187 pages
      ISBN:9781450369701
      DOI:10.1145/3357150
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 24 September 2019

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      Author Tags

      1. NDN
      2. integrity
      3. provenance
      4. validation

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      • Poster
      • Research
      • Refereed limited

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      • MSIP (Ministry of Science, ICT Future Planning)

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      ICN '19
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      Overall Acceptance Rate 133 of 482 submissions, 28%

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