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 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    杜威分類號: 005.82
    書名/作者: 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.].
    其他題名: CD-ARES 2016
    其他作者: Buccafurri, Francesco.
    團體作者: Clark Conference
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xii, 267 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Computer security
    標題: Computer networks - Handbooks, manuals, etc. - Management
    標題: Electronic data processing - Congresses. - Distributed processing
    標題: Computer networks - Handbooks, manuals, etc. - Security measures
    標題: Computer Science.
    標題: Information Systems Applications (incl. Internet)
    標題: Systems and Data Security.
    標題: Information Storage and Retrieval.
    標題: Data Encryption.
    標題: e-Commerce/e-business.
    標題: IT in Business.
    ISBN: 9783319455075
    ISBN: 9783319455068
    摘要、提要註: 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.
    電子資源: http://dx.doi.org/10.1007/978-3-319-45507-5
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