Availability, reliability, and secur...
Buccafurri, Francesco.

 

  • 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 /
  • 纪录类型: 书目-电子资源 : Monograph/item
    [NT 15000414] null: 005.82
    [NT 47271] Title/Author: Availability, reliability, and security in information systems : 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 ... [et al.].
    [NT 51403] remainder title: CD-ARES 2016
    [NT 51406] other author: Buccafurri, Francesco.
    [NT 51402] corporate name: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2016.
    面页册数: xii, 267 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    标题: Computer security
    标题: Computer networks - Handbooks, manuals, etc. - Management
    标题: Electronic data processing - Congresses. - Distributed processing
    标题: Computer networks - Handbooks, manuals, etc. - Security measures
    标题: Computer Science.
    标题: Information Systems Applications (incl. Internet)
    标题: Systems and Data Security.
    标题: Information Storage and Retrieval.
    标题: Data Encryption.
    标题: e-Commerce/e-business.
    标题: IT in Business.
    ISBN: 9783319455075
    ISBN: 9783319455068
    [NT 15000229] null: This volume constitutes the refereed proceedings of the IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference on Availability, 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.
    电子资源: http://dx.doi.org/10.1007/978-3-319-45507-5
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