Study and implementation of data dispersion algorithms

• Grant number: 15/26731-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2016
• End date: March 31, 2017
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Júlio Cézar Estrella
• Grantee: Victor Marcelino Nunes
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Cloud computing has emerged in recent years as a new computing paradigm that seeks to satisfy the recent promise by demand and utility computing. One of the ways to improve storage of files is by using multi-cloud architectures. Noting the insecurity of individual and corporate users in relation to this model, there is a need to study and analyze how is the maintenance and access to data and servers so that it is possible to detect any fails to store the files. This area in cloud computing related to security is called auditing. However, for these architectures are widely used, it must provide a mechanism for independent audit, so that a third party can ensure that data is safely stored on the audited system. Therefore, various approaches to data dispersion algorithms have been proposed. They seek to disperse the information more resilient as possible and with minimal processing overhead and redundancy.