Research Article |
An Advanced and Efficient Cluster Key Management Scheme for Agriculture Precision IoT Based Systems
Author(s) : Sakshi Anand1 and Avinash Sharma2
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 2
Publisher : FOREX Publication
Published : 20 June 2022
e-ISSN : 2347-470X
Page(s) : 264-269
Abstract
Things that connect to other devices & systems via Internet or communication networks are called IoT. It can also be said as a network of wireless sensors connected to a cloud and controlled by embedded devices. Considering the large framework of IoT, it becomes a little difficult to maintain security at each sensor node especially with limited information regarding hardware and deployment capabilities. Therefore, management of keys has become a point of concern peculiarly taking account of node capturing attack. This paper proposes an advanced cluster key management scheme for agriculture precision which involves EBS constructor and Chinese remainder theorem together. Once the data is collected from the nodes and a list is created, it is sent from the Cluster Head to the Backend Server, which filters it for hostile IDs and ignore the unauthentic sensor, returning filtered list with preloaded keys, & an authentication code to Cluster Head for use. To ensure added security, in this scheme encryption of data is done twice. Upon comparing the proposed scheme with others, it has been observed that we have achieved higher delivery ratio and reduced the energy consumption and packet drop rate to a great extent.
Keywords: IoT
, Clustering key management
, Agriculture precision
, WSN
, key management
Sakshi Anand, PhD Scholar, CSE Department, M.M. Deemed to be University, Mullana, Haryana, India; Email: sakshi.girdhar.1@gmail.com
Avinash Sharma, Professor, CSE Department, M.M. Deemed to be University, Mullana, Haryana, India; Email: asharma@mmumullana.org
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Sakshi Anand and Avinash Sharma (2022), An Advanced and Efficient Cluster Key Management Scheme for Agriculture Precision IoT Based Systems. IJEER 10(2), 264-269. DOI: 10.37391/IJEER.100235.