Trust, privacy and security in digital business : 16th International Conference, TrustBus 2019, Linz, Austria, August 26-29, 2019, Proceedings /

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Bibliographic Details
Meeting name:	TrustBus (Conference) (16th : 2019 : Linz, Austria)
Imprint:	Cham : Springer, 2019.
Description:	1 online resource (x, 177 pages) : illustrations (some color)
Language:	English
Series:	Lecture notes in computer science ; 11711 LNCS sublibrary. SL 4, Security and cryptology Lecture notes in computer science ; 11711. LNCS sublibrary. SL 4, Security and cryptology.
Subject:	Business enterprises -- Computer networks -- Security measures -- Congresses. Computer security -- Management -- Congresses. Electronic commerce -- Security measures -- Congresses. Business enterprises -- Computer networks -- Security measures. Computer security -- Management. Electronic commerce -- Security measures. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11938789

Hidden Bibliographic Details
Varying Form of Title:	TrustBus 2019
Other authors / contributors:	Gritzalis, Stefanos, editor. Weippl, Edgar R., editor. Katsikas, Sokratis K., editor. Kotsis, Gabriele, 1967- editor. Tjoa, A. Min, editor. Khalil, Ismail, 1960- editor.
ISBN:	9783030278137 3030278131 3030278123 9783030278120 9783030278144 303027814X 9783030278120
Digital file characteristics:	text file PDF
Notes:	International conference proceedings. Includes author index. Online resource; title from PDF title page (SpringerLink, viewed September 9, 2019).
Summary:	This book constitutes the refereed proceedings of the 16th International Conference on Trust, Privacy and Security in Digital Business, TrustBus 2019, held in Linz, Austria, in August 2019 in conjunction with DEXA 2019. The 11 full papers presented were carefully reviewed and selected from 24 submissions. The papers are organized in the following topical sections: privacy; and audit, compliance and threat intelligence. The chapter "A data utility-driven benchmark for de-identiﬁcation methods" is open access under a CC BY 4.0 license at link.springer.com.
Other form:	Printed edition: 9783030278120 Printed edition: 9783030278144
Standard no.:	10.1007/978-3-030-27813-7

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