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The cyber sensor network

Author(s)
O'Grady, Michael J.  
Murdoch, Olga  
Carr, Dominic  
Collier, Rem  
O'Hare, G. M. P. (Greg M. P.)  
Uri
http://hdl.handle.net/10197/11190
Date Issued
2018-08-15
Date Available
2019-11-08T15:13:40Z
Abstract
Access to information has never been easier thanks to the WWW; though not as well developed, sensor web technologies are, nonetheless, increasingly making data concerning a wide range of physical phenomena available to all. Potential opportunities for research in many application domains abound. Translating this potential into meaningful research is problematic as information sources, including but not limited to those on the WWW, are characterized by diversity and heterogeneity in a multiplicity of dimensions, resulting in an unwieldy and complex data capture process. To address this problem, the concept of a Cyber Sensor Network is proposed as a construct for providing a domain-Agnostic interface to diverse cyber and physical information sources. A methodology to implement such a network is described.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 IEEE
Subjects

Middleware

World Wide Web

Complexity theory

Streaming media

Monitoring

Big data

DOI
10.1109/DASC/PiCom/DataCom/CyberSciTec.2018.00076
Web versions
http://cyber-science.org/2018/picom/
Language
English
Status of Item
Peer reviewed
Journal
Proceedings - IEEE 16th International Conference on Dependable, Autonomic and Secure Computing, IEEE 16th International Conference on Pervasive Intelligence and Computing, IEEE 4th International Conference on Big Data Intelligence and Computing and IEEE 3rd Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2018
Conference Details
2018 IEEE 16th Intl Conference on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), Athens, Greece, 12-15 August 2018
ISBN
9781538675182
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

PID5448763.pdf

Size

4.04 MB

Format

Adobe PDF

Checksum (MD5)

b858a1aab2f2b34f247f2ede8752f1ab

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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