Selective All-Or-Nothing Transform: Protecting Outsourced Data Against Key Exposure

Autor: Gerard Memmi, Katarzyna Kapusta
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:
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