A Lightweight Cryptosystem for Wireless Sensor Networks using ECC

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2020 by IJETT Journal
Volume-68 Issue-4
Year of Publication : 2020
Authors : Anisha Mahato, Dr. M. Pushpalatha
DOI :  10.14445/22315381/IJETT-V68I4P202S

Citation 

MLA Style: Anisha Mahato, Dr. M. Pushpalatha  "A Lightweight Cryptosystem for Wireless Sensor Networks using ECC" International Journal of Engineering Trends and Technology 68.4(2020):7-12.

APA Style:Anisha Mahato, Dr. M. Pushpalatha. A Lightweight Cryptosystem for Wireless Sensor Networks using ECC  International Journal of Engineering Trends and Technology, 68(4),7-12.

Abstract
Wireless sensor networks consists of tiny devices known as sensor nodes. These sensors monitor the physical conditions of the environment and the information gathered is processed to get relevant outcomes. The data can be collected, compressed and performed required functionalities in it. Security of the sensed information in this wireless connection is the major concern. Security is required in any field where there is exchange of information especially sensitive data like personal details, transactions etc. This can be overcomed with the help of robust cryptographic algorithms. Identification of a suitable cryptographic algorithm is a major challenge due to the resource constraints in computational capability and storage resources WSN.

In this paper the various lightweight cryptographic algorithms are discussed which are applied in the sensor nodes. Among the well known asymmetric cryptographic algorithms Elliptic Curve Cryptography (ECC) has the smallest key size for the same level of security. Field inversions used in ECC is a costly process. This can be reduced by the introduction of Montgomery Multiplication and projective coordinate system in the algorithm.

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Keywords
Elliptic Curve Cryptography(ECC), Elliptic Curve Discrete Logarithmic Problem (ECDLP), Montgomery multiplication, Wireless Sensor Networks(WSN)