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Novel Filtering-Based Approach Using Fuzzy Logic for Prevention of Adversaries in Sensory Application

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Cybernetics and Automation Control Theory Methods in Intelligent Algorithms (CSOC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 986))

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Abstract

Security problems associated with the Wireless Sensor Network (WSN) have yet not met it fail-proof solution against the most lethal threat. After reviewing existing security solution, it was felt that there is a wide scope of improvement as existing system still cannot offer certainty in its decision of adversaries, whether it is identification or prevention of any threat. Therefore, the proposed system introduces a novel mechanism where fuzzy logic has been applied to filter down the decisions on the basis of unique pattern of energy and distance factors to identify and prevent the adversary from stealing the public keys within the sensor node. The study outcome shows that proposed system offers significant security without affecting the communication performance. In fact, proposed system exhibits good residual energy and sustaining data delivery performance for a longer iteration.

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Author information

Authors and Affiliations

  1. Visvesvaraya Technological University, Belgaum, Karnataka, India

    N. Tejashwini

  2. Department of Computer Science and Engineering, Cambridge Institute of Technology, Bengaluru, Karnataka, India

    D. R. Shashi Kumar

  3. Department of Information Science and Engineering, Cambridge Institute of Technology, Bengaluru, Karnataka, India

    K. Satyanarayan Reddy

Authors
  1. N. Tejashwini
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  2. D. R. Shashi Kumar
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  3. K. Satyanarayan Reddy
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Corresponding author

Correspondence to N. Tejashwini .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

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Tejashwini, N., Shashi Kumar, D.R., Satyanarayan Reddy, K. (2019). Novel Filtering-Based Approach Using Fuzzy Logic for Prevention of Adversaries in Sensory Application. In: Silhavy, R. (eds) Cybernetics and Automation Control Theory Methods in Intelligent Algorithms. CSOC 2019. Advances in Intelligent Systems and Computing, vol 986. Springer, Cham. https://doi.org/10.1007/978-3-030-19813-8_1

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