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Intrusion Detection System for Wireless Sensor Networks Using Danger Theory Immune-Inspired Techniques

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Abstract

An IDS framework inspired in the Human Immune System to be applied in the wireless sensor network context is proposed. It uses an improved decentralized and customized version of the Dendritic Cell Algorithm, which allows nodes to monitor their neighborhood and collaborate to identify an intruder. The work was implemented and tested both in simulation and in real sensor platform scenarios, comparing them to each other and was also compared to a Negative Selection Theory implementation in order to demonstrate its efficiency in detecting a denial-of-sleep attack and in energy consumption. Results demonstrated the success of the proposal.

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Acknowledgments

This work is partly supported by the National Council for Scientific and Technological Development (CNPq) through processes 481638/2007-5 for Luci Pirmez and Flávia C. Delicato; 4781174/2010-1 and 309270/2009-0 for Luci Pirmez; 311363/2011-3, 470586/2011-7 and 201090/2009-0 for Flávia C. Delicato; 480359/2009-1 and 311515/2009-6 for Paulo F. Pires; by the Financier of Studies and Projects (FINEP) through processes 01.10.0549.00 and 01.10.0064.00 for Luci Pirmez; and by the Foundation for Research of the State of Rio de Janeiro (FAPERJ) through processes E26/101.360/2010 for Luci Pirmez; E-26/100.428/2010 for Claudio M. de Farias.

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Authors and Affiliations

  1. Programa de Pós-Graduação em Informática, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil

    Helio Mendes Salmon, Claudio M. de Farias, Paula Loureiro, Luci Pirmez, Silvana Rossetto & Paulo Henrique de A. Rodrigues

  2. Faculdade de Medicina, Universidade Federal do Rio de Janeiro, Cidade Universitária, Rio de Janeiro, RJ, 21941-901, Brazil

    Rodrigo Pirmez

  3. Instituto Nacional de Metrologia, Normalização e Qualidade Industrial, Av. N. S. das Graças, 50, Xerém, Duque de Caxias, RJ, 25250-020, Brazil

    Luiz Fernando R. da Costa Carmo

  4. Departamento de Informática e Matemática Aplicada, Universidade Federal do Rio Grande do Norte, Campus Universitário Lagoa Nova, Natal, RN, 59078-970, Brazil

    Flávia C. Delicato

Authors
  1. Helio Mendes Salmon
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  2. Claudio M. de Farias
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  3. Paula Loureiro
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  4. Luci Pirmez
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  5. Silvana Rossetto
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  6. Paulo Henrique de A. Rodrigues
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  7. Rodrigo Pirmez
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  8. Flávia C. Delicato
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  9. Luiz Fernando R. da Costa Carmo
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Corresponding author

Correspondence to Claudio M. de Farias.

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Salmon, H.M., de Farias, C.M., Loureiro, P. et al. Intrusion Detection System for Wireless Sensor Networks Using Danger Theory Immune-Inspired Techniques. Int J Wireless Inf Networks 20, 39–66 (2013). https://doi.org/10.1007/s10776-012-0179-z

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  • DOI: https://doi.org/10.1007/s10776-012-0179-z

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