Paper Info
Title
Micro-Trivium: A Lightweight Algorithm Designed For Radio Frequency Identification Systems
Abstract
Distributed sensor networks have been widely applied to healthcare, environmental monitoring and management, intelligent transportation, and other fields in which network sensors collect and transmit information about their surrounding environment. Radio frequency identification technology transmits an object's identification as a unique serial numberusing radio waves as the transmission carrier-and is becoming an important building block for distributed sensor networks. However, the security of radio frequency identification systems is a major industrial concern that can significantly hinder the market growth of distributed sensor networks. Trivium is a well-known lightweight synchronous stream cipher that was submitted to the European eSTREAM project in April 2005. In this article, we generalize Trivium to the Trivium-Model algorithm and highlight that security is mainly determined by the internal state bits and the number of nonlinear terms. We propose principles for choosing parameters and generating better parameters that are feasible for low-cost radio frequency identification tags in distributed sensor networks. The new algorithm, named Micro-Trivium, requires less power and a smaller chip area than the original Trivium, which is proven using experimental data and results. Mathematical analysis shows that using Micro-Trivium is as secure as using Trivium.
Year
DOI
Venue
2017
10.1177/1550147717694171
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
Trivium, radio frequency identification, distributed sensor network, security, Micro-Trivium
Nonlinear system,Radio wave,Computer science,Algorithm,Stream cipher,Intelligent transportation system,eSTREAM,Wireless sensor network,Radio-frequency identification
Journal
Volume
Issue
ISSN
13
2
1550-1477
Citations 
PageRank 
References 
0
0.34
8
Authors
2
Name
Order
Citations
PageRank
Shiyong Zhang101.69
Gong-Liang Chen216013.54