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On the Secure Routing Protocols, Selfishness Mitigation, and Trust in Mobile Ad Hoc Networks

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Combating Security Challenges in the Age of Big Data

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Abstract

In the era of big data, the data are produced by numerous sources. Though, Mobile Ad hoc Network (MANET) would not be directly related to big data technology, there are at least two issues that relate MANET with big data scenario which are: (i) collecting reliable data securely from MANET (ii) obtaining meaningful data from the huge data sets and transmission of that securely through MANET. This is why it is needed to talk about the secure routing protocols in MANET as in some way; such network setting also would be related to contributing to the big data environment. The intent of this chapter is to present a survey on the secure routing protocols in MANET.

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Author information

Authors and Affiliations

  1. Vanderbilt University, Nashville, TN, USA

    Uttam Ghosh

  2. Old Dominion University, Norfolk, VA, USA

    Pushpita Chatterjee

  3. Department of Computer Science and Engineering, Independent University, Bangladesh (IUB), Dhaka, Bangladesh

    Al-Sakib Khan Pathan

Authors
  1. Uttam Ghosh
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  2. Pushpita Chatterjee
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  3. Al-Sakib Khan Pathan
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Corresponding author

Correspondence to Uttam Ghosh .

Editor information

Editors and Affiliations

  1. ATAC, Lakehead University, Thunder Bay, ON, Canada

    Zubair Md. Fadlullah

  2. Department of Computer Science and Engineering Independent University, Bangladesh (IUB), Dhaka, Bangladesh

    Al-Sakib Khan Pathan

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Ghosh, U., Chatterjee, P., Pathan, AS.K. (2020). On the Secure Routing Protocols, Selfishness Mitigation, and Trust in Mobile Ad Hoc Networks. In: Fadlullah, Z., Khan Pathan, AS. (eds) Combating Security Challenges in the Age of Big Data. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-35642-2_5

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  • DOI: https://doi.org/10.1007/978-3-030-35642-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35641-5

  • Online ISBN: 978-3-030-35642-2

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