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CScrypt: A Compressive-Sensing-Based Encryption Engine for the Internet of Things: Demo Abstract

Published: 14 November 2016 Publication History

Abstract

Internet of Things (IoT) have been connecting the physical world seamlessly and provides tremendous opportunities to a wide range of applications. However, potential risks exist when IoT system collects local sensor data and uploads to the Cloud. The private data leakage can be severe with curious database administrator or malicious hackers who compromise the Cloud. In this demo, we solve this problem of guaranteeing the user data privacy and security using compressive sensing based cryptographic method. We present CScrypt, a compressive-sensing-based encryption engine for the Cloud-enabled IoT systems to secure the interaction between the IoT devices and the Cloud. Our system exploits the fact that each individual's biometric data can be trained to a unique dictionary which can be used as an encryption key meanwhile to compress the original data. We will demonstrate a functioning prototype of our system using live data stream when attending the conference.

References

[1]
M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica, et al. A view of cloud computing. Communications of the ACM, 53(4):50--58, 2010.
[2]
R. A. Popa, C. Redfield, N. Zeldovich, and H. Balakrishnan. Cryptdb: protecting confidentiality with encrypted query processing. In Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles, pages 85--100. ACM, 2011.
[3]
R. Rana, M. Yang, T. Wark, C. T. Chou, and W. Hu. Simpletrack: Adaptive trajectory compression with deterministic projection matrix for mobile sensor networks. Sensors Journal, IEEE, 15(1):365--373, 2015.

Cited By

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  • (2021)GeoSecure-C: A Method for Secure GPS Trajectory Compression Over Cloud2021 IEEE Conference on Communications and Network Security (CNS)10.1109/CNS53000.2021.9729037(1-2)Online publication date: 4-Oct-2021
  • (2021)Blockchain-Watermarking for Compressive Sensed ImagesIEEE Access10.1109/ACCESS.2021.30721969(56457-56467)Online publication date: 2021

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cover image ACM Conferences
SenSys '16: Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems CD-ROM
November 2016
398 pages
ISBN:9781450342636
DOI:10.1145/2994551
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: 14 November 2016

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View all
  • (2021)GeoSecure-C: A Method for Secure GPS Trajectory Compression Over Cloud2021 IEEE Conference on Communications and Network Security (CNS)10.1109/CNS53000.2021.9729037(1-2)Online publication date: 4-Oct-2021
  • (2021)Blockchain-Watermarking for Compressive Sensed ImagesIEEE Access10.1109/ACCESS.2021.30721969(56457-56467)Online publication date: 2021

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