Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Design of Network Data Transmission Mixed Model Based on Hypothesis Model and Threat Model

Authors
Jianying Wang
Corresponding Author
Jianying Wang
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.64How to use a DOI?
Keywords
Design, Network Data Transmission Mixed Model, Hypothesis Model, Threat Model
Abstract

The data communication network is a system composed of data terminals, data transmission equipment, digital exchange equipment and digital communication lines distributed everywhere. The contents of the communication are binary coded letters, numbers, symbols, and digitized sound and image information. The data communication network and the computer combine to form a computer network, which can use the computer connected to the network and communicate with any other users in the network.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/fmsmt-17.2017.64
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.64How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Jianying Wang
PY  - 2017/04
DA  - 2017/04
TI  - Design of Network Data Transmission Mixed Model Based on Hypothesis Model and Threat Model
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 296
EP  - 299
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.64
DO  - 10.2991/fmsmt-17.2017.64
ID  - Wang2017/04
ER  -