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A Randomness Detection Method of ZigBee Protocol in a Wireless Sensor Network.
Tang, Yongli; Lian, Huanhuan; Li, Lixiang; Wang, Xiaojun; Yan, Xixi.
Afiliação
  • Tang Y; College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China. yltang@hpu.edu.cn.
  • Lian H; College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China. hhl9307@163.com.
  • Li L; School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing 100876, China. lixiang@bupt.edu.cn.
  • Wang X; School of Electronic Engineering, Dublin City University, Dublin 9, Ireland. xiaojun.wang@dcu.ie.
  • Yan X; College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454000, China. yanxx@hpu.edu.cn.
Sensors (Basel) ; 18(11)2018 Nov 15.
Article em En | MEDLINE | ID: mdl-30445740
ABSTRACT
This study investigates the randomness detection of cryptographic algorithms in network security. To effectively test and verify the security of ZigBee protocol in the Internet of Things, the study combines with the characteristics of ZigBee networks, and it rationally organizes and divides test modes based on the binary matrix rank theory test. Then this paper proposes a randomness detection method of ZigBee protocol in a wireless sensor network. The proposed method solves the one-sidedness that the binary matrix rank test simply assesses random sequences by linear correlation. The proposed assessment method can effectively appraise whether the ZigBee protocol has an encryption mechanism and encryption strength. Simulation results show that this method has the characteristics of fewer errors and high reliability.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China