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Proceedings of the Global AI Congress 2019 pp 187–196Cite as

Improvement of Packet Delivery Fraction Due to Discrete Attacks in MANET Using MAD Statistical Approach

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1112))

Abstract

Nowadays so many wireless networks are used rapidly, among which mobile ad hoc network (MANET) is placed in the front row. As it has no concept or use of wire, it is unshielded to different kinds of attacks. In this paper, we have analyzed the PDF that is packet delivery fraction of three different kinds of attacks, viz. Sybil, Black Hole, Worm Hole, and improved them. We have to first count the number of packets dropped to number of packets sent. Then we can find the ratio or fraction of the delivery during the attacks and improve the PDF using our algorithm of a newly statistical approach, named as absolute deviation correlation about median (MAD). Then a comparative study is structured between PDF of these three attacks. Mat Lab simulator is used here to get the result.

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References

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Author information

Authors and Affiliations

  1. Dream Institute of Technology, Kolkata, India

    Sayan Majumder

  2. Institute of Engineering & Management, Kolkata, India

    Debika Bhattacharyya

Authors
  1. Sayan Majumder
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  2. Debika Bhattacharyya
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Corresponding author

Correspondence to Sayan Majumder .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Kalyani University, Nadia, West Bengal, India

    Jyotsna Kumar Mandal

  2. Department of Computer Science and Engineering, Assam University, Silchar, Assam, India

    Somnath Mukhopadhyay

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Majumder, S., Bhattacharyya, D. (2020). Improvement of Packet Delivery Fraction Due to Discrete Attacks in MANET Using MAD Statistical Approach. In: Mandal, J., Mukhopadhyay, S. (eds) Proceedings of the Global AI Congress 2019. Advances in Intelligent Systems and Computing, vol 1112. Springer, Singapore. https://doi.org/10.1007/978-981-15-2188-1_15

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