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Authors: Manoranjan Mohanty 1 ; Muhammad Rizwan Asghar 2 and Giovanni Russello 2

Affiliations: 1 New York University Abu Dhabi, United Arab Emirates ; 2 The University of Auckland, New Zealand

Keyword(s): Encrypted Volume, Paillier Cryptosystem, Cloud-based Secure Volume Ray-casting.

Related Ontology Subjects/Areas/Topics: Applied Cryptography ; Cryptographic Techniques and Key Management ; Data Engineering ; Databases and Data Security ; Information and Systems Security ; Security and Privacy in the Cloud

Abstract: With the evolution of cloud computing, organizations are outsourcing the storage and rendering of volume (i.e., 3D data) to cloud servers. Data confidentiality at the third-party cloud provider, however, is one of the main challenges. In this paper, we address this challenge by proposing – 3DCrypt – a modified Paillier cryptosystem scheme for multi-user settings that allows cloud datacenters to render the encrypted volume. The rendering technique we consider in this work is pre-classification volume ray-casting. 3DCrypt is such that multiple users can render volumes without sharing any encryption keys. 3DCrypt’s storage and computational overheads are approximately 66.3 MB and 27 seconds, respectively when rendering is performed on a 256 × 256 × 256 volume for a 256×256 image space.

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Paper citation in several formats:
Mohanty, M.; Asghar, M. and Russello, G. (2016). 3DCrypt: Privacy-preserving Pre-classification Volume Ray-casting of 3D Images in the Cloud. In Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT; ISBN 978-989-758-196-0; ISSN 2184-3236, SciTePress, pages 283-291. DOI: 10.5220/0005966302830291

@conference{secrypt16,
author={Manoranjan Mohanty. and Muhammad Rizwan Asghar. and Giovanni Russello.},
title={3DCrypt: Privacy-preserving Pre-classification Volume Ray-casting of 3D Images in the Cloud},
booktitle={Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT},
year={2016},
pages={283-291},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005966302830291},
isbn={978-989-758-196-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016) - SECRYPT
TI - 3DCrypt: Privacy-preserving Pre-classification Volume Ray-casting of 3D Images in the Cloud
SN - 978-989-758-196-0
IS - 2184-3236
AU - Mohanty, M.
AU - Asghar, M.
AU - Russello, G.
PY - 2016
SP - 283
EP - 291
DO - 10.5220/0005966302830291
PB - SciTePress

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