@article {35,
	title = {Adding long-term availability, obfuscation, and encryption to multi-cloud storage systems},
	journal = {Journal of Network and Computer Applications},
	volume = {59},
	year = {2016},
	month = {01/2016},
	pages = {208-218},
	abstract = {<p>Abstract Nowadays, storage services offer a new way for Cloud providers to do business. This new trend is proved by the number of Cloud storage providers that are continuously appearing on the market. By now, using Cloud storage services is becoming a common practice for end-users. However, the current Cloud storage providers do not offer any guarantees regarding long-term availability and privacy. In fact, data stored in the Cloud could be locked-in, lost, or violated in terms of privacy. In this work, we present an innovative system that on one hand allows end-users to simultaneously rely on different Cloud storage providers in a transparent way and on the other hand to enforce long-term availability, obfuscation, and encryption. Our system is highly reliable, in fact, if a provider is not temporarily or permanently available, end-users continue accessing their data in a secure way. In addition, only the end-users have the full control of the overall security of their data and no sensitive information are disclosed to Cloud storage providers. Several experiments allow us to discuss the performance of our system compared against existing solutions.</p>
},
	keywords = {cloud computing, Long-term availability, Privacy, Reliability, Storage Clouds},
	issn = {1084-8045},
	doi = {10.1016/j.jnca.2014.09.021},
	url = {http://www.sciencedirect.com/science/article/pii/S1084804514002288},
	author = {A. Celesti and M. Fazio and M. Villari and A. Puliafito}
}
@booklet {47,
	title = {Data Reliability In Multi-provider Cloud Storage Service With RRNS},
	journal = {Advances in Service-Oriented and Cloud Computing},
	volume = {393},
	year = {2013},
	month = {13},
	pages = {83{\textendash}93},
	publisher = {Springer - Verlag Berlin Heidelberg},
	address = {Berlin},
	abstract = {Nowadays, more and more Cloud storage providers are appearing on the market. Nevertheless, data availability and confidentiality represent critical issues considering Cloud computing. This paper discusses an approach that on one hand enables customers to use at the same time different Cloud storage providers, and that on the other hand guarantees both data redundancy and obfuscation. According to our approach, files are fragmented and stored in different Cloud storage providers by means of the Redundant Residue Number System (RRNS). Besides providing us data redundancy, RRNS allows us to preserve the data confidentiality by means of an obfuscation-base strategy spreading metadata over different cloud providers. In addition, our approach allows a customer to retrieve his/her files even if a cloud storage provider is not available anymore. Experiments highlight the factors that have to be considered to configure the system according to the customer{\textquoteright}s requirements.},
	keywords = {Big Data, cloud computing, Confidentiality, Reliability, Storage},
	url = {http://link.springer.com/chapter/10.1007/978-3-642-45364-9_8},
	author = {M. Villari and A. Celesti and F. Tusa and A. Puliafito}
}
@article {275,
	title = {Energy control in dependable Wireless Sensor Networks: a modeling perspective},
	journal = {PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS. PART O, JOURNAL OF RISK AND RELIABILITY},
	volume = {225},
	year = {2011},
	pages = {424{\textendash}434},
	abstract = {<p>Wireless sensor networks (WSN) are composed of a large number of tiny sensor nodes randomly distributed over a geographical region. In order to reduce power consumption, battery-operated sensors undergo cycles of sleeping-active periods that reduce their ability to send/receive data. Starting from the Markov reward model theory, this paper presents a dependability model to analyse the reliability of a sensor node. Also, a new dependability parameter is introduced, referred to as producibility, which is able to capture the capability of a sensor to accomplish its mission. Two different model solution techniques are proposed, one based on the evaluation of the accumulated reward distribution and the other based on an equivalent model based on non-Markovian stochastic Petri nets. The obtained results are used to investigate the dependability of a whole WSN taking into account the presence of redundant nodes. Topological aspects are taken into account, providing a quantitative comparison among three typical network topologies: star, tree, and mesh. Numerical results are provided in order to highlight the advantages of the proposed technique and to demonstrate the equivalence of the proposed approaches.</p>
},
	keywords = {Energy consumption, Markov reward models, network topology, non-Markovian stochastic Petri nets, producibility, Reliability, Wireless sensor networks},
	doi = {10.1177/1748006X10397845},
	author = {D. Bruneo and A. Puliafito and Marco Scarpa}
}
