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DOI: 10.14569/IJACSA.2019.0100255
PDF

Unique Analytical Modelling of Secure Communication in Wireless Sensor Network to Resist Maximum Threats

Author 1: Manjunath B. E
Author 2: Dr. P.V. Rao

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 2, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Security problems in Wireless Sensor Network (WSN) are still open-end problems. Qualitative evaluation of the existing approaches of security in WSN shows adoption of either complex cryptographic use or attack-specific solution. As WSN is an integral part of upcoming Internet-of-Things (IoT), the attack scenario becomes more complicated owing to the integration of two different forms of networks and so is for the attackers. Therefore, this paper introduces a novel secure communication technique that considers time, energy, and traffic environment as prominent constraints to perform security modeling. The proposed solution designed using analytical methodology has some unique capability to resist any form of illegitimate queries of network participation and yet maintain a superior form of communication service. The simulated outcome shows that the proposed system offers reduced end-to-end delay and highest energy retention as compared to other existing security approaches.

Keywords: Encryption; energy; secure communication; threats; traffic environment; wireless sensor network

Manjunath B. E and Dr. P.V. Rao, “Unique Analytical Modelling of Secure Communication in Wireless Sensor Network to Resist Maximum Threats” International Journal of Advanced Computer Science and Applications(IJACSA), 10(2), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100255

@article{E2019,
title = {Unique Analytical Modelling of Secure Communication in Wireless Sensor Network to Resist Maximum Threats},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100255},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100255},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {2},
author = {Manjunath B. E and Dr. P.V. Rao}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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