An encryption scheme using chaotic map and genetic operations for wireless sensor networks

Journal article


Biswas, Kamanashis, Muthukkumarasamy, Vallipuram and Singh, Kalvinder. (2015). An encryption scheme using chaotic map and genetic operations for wireless sensor networks. IEEE Sensors Journal. 15(5), pp. 2801 - 2809. https://doi.org/10.1109/JSEN.2014.2380816
AuthorsBiswas, Kamanashis, Muthukkumarasamy, Vallipuram and Singh, Kalvinder
Abstract

Over the past decade, the application domain of wireless sensor networks has expanded steadily, ranging from environmental management to industry control, and from structural health monitoring to strategic surveillance. With the proliferation of sensor networks at home, work place, and beyond, securing data in the network has become a challenge. A number of security mechanisms have been proposed for sensor networks to provide data confidentiality: 1) advanced encryption system; 2) KATAN; 3) LED; and 4) TWINE. However, these schemes have drawbacks, including security vulnerabilities, need for hardware-based implementation, and higher computational complexity. To address these limitations, we propose a lightweight block cipher based on chaotic map and genetic operations. The proposed cryptographic scheme employs elliptic curve points to verify the communicating nodes and as one of the chaotic map parameters to generate the pseudorandom bit sequence. This sequence is used in XOR, mutation, and crossover operations in order to encrypt the data blocks. The experimental results based on Mica2 sensor mote show that the proposed encryption scheme is nine times faster than the LED protocol and two times faster than the TWINE protocol. We have also performed a number of statistical tests and cryptanalytic attacks to evaluate the security strength of the algorithm and found the cipher provably secure.

Keywordswireless sensor network; pseudorandom bit sequence generator; data encryption; elliptic curve; chaotic map; mutation; crossover
Year2015
JournalIEEE Sensors Journal
Journal citation15 (5), pp. 2801 - 2809
PublisherIEEE Xplore
ISSN1530-437X
Digital Object Identifier (DOI)https://doi.org/10.1109/JSEN.2014.2380816
Scopus EID2-s2.0-84926470319
Page range2801 - 2809
Research GroupPeter Faber Business School
Publisher's version
File Access Level
Controlled
Place of publicationUnited States of America
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