Paper Info
Title
On Modeling Protocol-Based Clustering Tag in RFID Systems with Formal Security Analysis
Abstract
This paper presents an efficiency and adaptive cryptographic protocol to ensure users' privacy and data integrity in RFID system. Radio Frequency Identification technology offers more intelligent systems and applications, but privacy and security issues have to be addressed before and after its adoption. The design of the proposed model is based on clustering configuration of the involved tags where they interchange the data with the reader whenever it sends a request. This scheme provides a strong mutual authentication framework that suits for real heterogeneous RFID applications such as in supply-chain management systems, healthcare monitoring and industrial environment. In addition, we contribute with a mathematical analysis to the delay analysis and optimization in a clustering topology tag-based. Finally, a formal security and proof analysis is demonstrated to prove the effectiveness of the proposed protocol and that achieves security and privacy.
Year
DOI
Venue
2015
10.1109/AINA.2015.227
AINA
Keywords
Field
DocType
cryptography protocol,security,privacy,authentication,rfid
Authentication,Cryptographic protocol,Computer science,Computer network,Security service,Cryptographic primitive,Security analysis,Authentication protocol,Cluster analysis,Radio-frequency identification,Distributed computing
Conference
ISSN
Citations 
PageRank 
1550-445X
1
0.39
References 
Authors
5
5
Name
Order
Citations
PageRank
Bruce Ndibanje1205.36
Hyunho Kim221.43
Young-Jin Kang321.77
Youngsil Lee4143.11
Jae Hoon Lee517637.92