http://www.cnr.it/ontology/cnr/individuo/prodotto/ID79485
Evaluating the Combined Effect of Vulnerabilities and Faults on Large Distributed Systems (Contributo in atti di convegno)
- Type
- Label
- Evaluating the Combined Effect of Vulnerabilities and Faults on Large Distributed Systems (Contributo in atti di convegno) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/DEPCOS-RELCOMEX.2007.22 (literal)
- Alternative label
M. Cheminod; I. Cibrario Bertolotti; L. Durante; R. Sisto; A. Valenzano (2007)
Evaluating the Combined Effect of Vulnerabilities and Faults on Large Distributed Systems
in 2nd IEEE Int. Conference on Dependability of Computer Systems (DEPCOS-RELCOMEX 07), Szklarska Poreba, 14-16 Giugno 2007
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- M. Cheminod; I. Cibrario Bertolotti; L. Durante; R. Sisto; A. Valenzano (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4272886 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- Google Scholar (literal)
- Scopu (literal)
- IEEE Xplore digital library (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- M. Cheminod; I. Cibrario Bertolotti; L. Durante; A. Valenzano: CNR-IEIIT, Istituto di Elettronica e di Ingegneria dell?informazione e delle Telecomunicazioni, Torino, Italy
R. Sisto: CNR-IEIIT e Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, Italy (literal)
- Titolo
- Evaluating the Combined Effect of Vulnerabilities and Faults on Large Distributed Systems (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- Abstract
- On large and complex distributed systems hardware and software faults, as well as vulnerabilities,
exhibit significant dependencies and interrelationships. Being able to assess their actual
impact on the overall system dependability is especially important. The goal of this paper is to
propose a unifying way of describing a complex hardware and software system, in order to assess
the impact of both vulnerabilities and faults by means of the same underlying reasoning mechanism,
built on a standard Prolog inference engine. Some preliminary experimental results show
that a prototype tool based on these techniques is both feasible and able to achieve encouraging
performance levels on several synthetic test cases. (literal)
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