Selective All-Or-Nothing Transform: Protecting Outsourced Data Against Key Exposure
Autor: | Gerard Memmi, Katarzyna Kapusta |
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Přispěvatelé: | Autonomic and Critical Embedded Systems (ACES), Laboratoire Traitement et Communication de l'Information (LTCI), Institut Mines-Télécom [Paris] (IMT)-Télécom Paris-Institut Mines-Télécom [Paris] (IMT)-Télécom Paris, Département Informatique et Réseaux (INFRES), Télécom ParisTech |
Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
0303 health sciences
business.industry Computer science All-or-nothing transform 020206 networking & telecommunications Cloud computing 02 engineering and technology Encryption Computer security computer.software_genre 03 medical and health sciences Upload Ciphertext 0202 electrical engineering electronic engineering information engineering Data Protection Act 1998 [INFO]Computer Science [cs] business Cloud storage computer ComputingMilieux_MISCELLANEOUS 030304 developmental biology |
Zdroj: | CSS’18, 10th International Symposium on Cyberspace Safety and Security CSS’18, 10th International Symposium on Cyberspace Safety and Security, Oct 2018, Amalfi, Italy Cyberspace Safety and Security ISBN: 9783030016883 CSS |
Popis: | This paper presents the selective all-or-nothing transform (SAONT). It addresses the needs of users who would like to use inexpensive cloud storage services, but do not trust their providers. Encrypted data are transformed and separated into a small private fragment kept on the user’s device and a large public fragment which can be securely uploaded to a public cloud since decryption of the public fragment is infeasible without the private fragment. Therefore, outsourced data are protected even in a situation of key exposure. SAONT reduces performance overhead by combining block-wise fragmentation of a ciphertext with an application of an all-or-nothing transform only on a subset of the ciphertext. |
Databáze: | OpenAIRE |
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