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Record Nr. |
UNINA9910484832103321 |
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Titolo |
Availability, Reliability, and Security in Information Systems [[electronic resource] ] : IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings / / edited by Francesco Buccafurri, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XII, 267 p. 88 illus.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI ; ; 9817 |
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Disciplina |
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Soggetti |
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Application software |
Computer security |
Information storage and retrieval |
Data encryption (Computer science) |
E-commerce |
Information technology |
Business—Data processing |
Information Systems Applications (incl. Internet) |
Systems and Data Security |
Information Storage and Retrieval |
Cryptology |
e-Commerce/e-business |
IT in Business |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, |
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Reliability and Security in Information Systems, CD-ARES 2016, and the Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, co-located with the International Conference on Availability, Reliability and Security, ARES 2016, held in Salzburg, Austria, in September 2016. The 13 revised full papers and 4 short papers presented were carefully reviewed and selected from 23 submissions. They are organized in the following topical sections: Web and semantics; diagnosis, prediction and machine learning; security and privacy; visualization and risk management; and privacy aware machine learning for health data science. |
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