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Entropy 2016, 18(9), 334; doi:10.3390/e18090334

Special Issue on Entropy-Based Applied Cryptography and Enhanced Security for Ubiquitous Computing

1
Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul 01811, Korea
2
School of Information Technology, Deakin University, Victoria 3125, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Raúl Alcaraz Martínez
Received: 7 September 2016 / Accepted: 7 September 2016 / Published: 13 September 2016
View Full-Text   |   Download PDF [157 KB, uploaded 13 September 2016]

Abstract

Entropy is a basic and important concept in information theory. It is also often used as a measure of the unpredictability of a cryptographic key in cryptography research areas. Ubiquitous computing (Ubi-comp) has emerged rapidly as an exciting new paradigm. In this special issue, we mainly selected and discussed papers related with ore theories based on the graph theory to solve computational problems on cryptography and security, practical technologies; applications and services for Ubi-comp including secure encryption techniques, identity and authentication; credential cloning attacks and countermeasures; switching generator with resistance against the algebraic and side channel attacks; entropy-based network anomaly detection; applied cryptography using chaos function, information hiding and watermark, secret sharing, message authentication, detection and modeling of cyber attacks with Petri Nets, and quantum flows for secret key distribution, etc. View Full-Text
Keywords: applied cryptography; enhanced security; ubiquitous computing applied cryptography; enhanced security; ubiquitous computing
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Park, J.J.H.; Zhou, W. Special Issue on Entropy-Based Applied Cryptography and Enhanced Security for Ubiquitous Computing. Entropy 2016, 18, 334.

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