SECNC  A Brazilian Experimental Cloud Storage Service Roberto ARAUJO 1 , Carlos Eduardo DA SILVA 2 , Thomás DINIZ 2 , Tainá MEDEIROS 2 , André MARINS 3 1 Federal University of Pará – UFPA – INF, Augusto Corrêia Street, Guamá, ZIP 66075110, Belém, Brazil Tel: + 55 91 32017000, Email: rsa@ufpa.br 2 Federal University of Rio Grande do Norte – UFRN – INF, Senador Salgado Filho Av, Lagoa Nova, ZIP 59078970, Natal, Brazil Tel: + 55 84 32153119, Email: kaduardo@imd.ufrn.br, {thomasfdsdiniz, tainajmedeiros}@gmail.com 3 Brazilian National Education and Research Network, RNP, 116 Lauro Muller st, room 1103, ZIP 22290906, Rio de Janeiro, Brazil Tel: + 55 51 21029660, Fax: + 55 51 22793731, Email: amarins@rnp.br Abstract Cloudbased storage services are increasingly common tools in everyday life of teachers and researchers. Thus, Cloud business model is a trend to whom are looking for scalability, availability, flexibility and less maintenance issues. The increasing demand for collaborative work has driven these users to commercial cloud solutions, as Dropbox, Google drive or Onedrive, as the means to save and share presentations, lecture notes, research documents. Although those solutions offer many benefits for their users, they have a number of disadvantages, for example, commercial clouds store data in their own servers, are under local rules and government laws, usually not the same rules and laws in which their users are subjected to. Another disadvantage is related to the terms of use/privacy policy. In this context, we present CNC Cloud, Cloud Computing for Science, a project sponsored by the Brazilian NREN RNP, which aims to offer a cloud storage service for researchers and lectures of Brazilian education and research institutes. Keywords Owncloud, Security, Cloud Computing. 1. Introduction Historically, the evolution of information technology has been characterized by innovation and the creation of new paradigms. This behavior has repeated itself with the appearance of cloud computing, a distributed computing model where shared computational resources (e.g., hardware, development platforms, and applications) are virtualized and offered as services, supported by a number of data centers all over the Internet (Armburst et al. 2010, Foster et al. 2008, Vaquero et al. 2009).