1.

Record Nr.

UNISA996466324403316

Titolo

Future Data and Security Engineering [[electronic resource] ] : 5th International Conference, FDSE 2018, Ho Chi Minh City, Vietnam, November 28–30, 2018, Proceedings / / edited by Tran Khanh Dang, Josef Küng, Roland Wagner, Nam Thoai, Makoto Takizawa

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-030-03192-6

Edizione

[1st ed. 2018.]

Descrizione fisica

1 online resource (XIV, 500 p. 246 illus., 146 illus. in color.)

Collana

Information Systems and Applications, incl. Internet/Web, and HCI ; ; 11251

Disciplina

005.8

Soggetti

Application software

Data mining

Artificial intelligence

Computer communication systems

Computer security

Information Systems Applications (incl. Internet)

Data Mining and Knowledge Discovery

Artificial Intelligence

Computer Communication Networks

Systems and Data Security

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Invited Keynotes -- Security and Privacy Engineering -- Authentication and Access Control -- Big Data Analytics and Applications -- Advanced Studies in Machine Learning -- Deep Learning and Applications -- Data Analytics and Recommendation Systems -- Internet of Things and Applications -- Smart City: Data Analytics and Security -- Emerging Data Management Systems and Applications.

Sommario/riassunto

This book constitutes the refereed proceedings of the 5th International Conference on Future Data and Security Engineering, FDSE 2018, held in Ho Chi Minh City, Vietnam, in November 2018. The 28 revised full papers and 7 short papers presented together with two papers of



keynote speeches were carefully reviewed and selected from 122 submissions. The selected papers are organized into the following topical headings: security and privacy engineering; authentication and access control; big data analytics and applications; advanced studies in machine learning; deep learning and applications; data analytics and recommendation systems; Internet of Things and applications; smart city: data analytics and security; and emerging data management systems and applications.