1.

Record Nr.

UNINA9910254831203321

Titolo

Trusted Computing and Information Security : 11th Chinese Conference, CTCIS 2017, Changsha, China, September 14-17, 2017, Proceedings / / edited by Ming Xu, Zheng Qin, Fei Yan, Shaojing Fu

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017

ISBN

981-10-7080-6

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XIII, 410 p. 133 illus.)

Collana

Communications in Computer and Information Science, , 1865-0929 ; ; 704

Disciplina

005.8

Soggetti

Computer security

Data encryption (Computer science)

Data protection

Computer software - Reusability

Systems and Data Security

Cryptology

Security

Performance and Reliability

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Theory of trusted computing, trustworthy software -- Infrastructure of trusted computing, application and evaluation of trusted computing -- Network security and communication security -- Theory and technology of cryptographic techniques -- Information content security -- System security for mobile network and IoT systems, industrial control and embedded systems -- Security for Cloud computing, virtualization systems and big data.

Sommario/riassunto

This book constitutes the refereed proceedings of the 11th Chinese Conference on Trusted Computing and Information Security, CTCIS 2017, held in Changsha, China, in September 2017. The 28 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers focus on topics such as theory of trusted computing, trustworthy software; infrastructure of trusted computing, application and evaluation of trusted computing; network security and



communication security; theory and technology of cryptographic techniques; information content security; system security for mobile network and IoT systems, industrial control and embedded systems; security for Cloud computing, virtualization systems and big data.