An Efficient Elliptic Curve based Key Management Scheme for Distributed Sensor Networks

Porkodi Chinniah and Sangavai Krishnamoorthi
Additional contact information
Porkodi Chinniah: Department of Mathematics PSG College of Technology, Coimbatore, Tamilnadu, India
Sangavai Krishnamoorthi: Department of Mathematics PSG College of Technology, Coimbatore, Tamilnadu, India

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 6, 111-116

Abstract: Distributed Sensor Networks are broadly used in many applications and key distribution is a challenging task. In this work, a key management scheme is developed for distributed sensor networks based on elliptic curve cryptography over prime field. Key distribution among the nodes and interactive as well as non interactive protocols for agreement of common secret key for message transmission between two nodes are discussed. The probability for connectivity of the network generated according to the proposed key distribution scheme is discussed in detail. The implementation of the proposed scheme is done using NetSim interfaced with MATLAB. Connectivity of the network is also checked through eigenvalues of the Laplacian matrix of the network.

Keywords: Sensor networks; Elliptic curves; key distribution; interactive and non interactive protocols (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/61316 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/61316/12154 Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:6:id:61316

DOI: 10.24018/ejeng.2019.4.6.1316

Access Statistics for this article

More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().