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Low-Cost Real-Time Implementation of Malicious Packet Dropping Detection in Agricultural IoT Platform

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Advances in Distributed Computing and Machine Learning

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 127))

Abstract

Internet of Things (IoT) enables to connect various devices to Internet. It also gives access to various devices from remote place at anytime. IoT applied in various areas such as smart city, health care, agriculture, waste management and food supply. A major drawback of IoT is lack of protection against security issues. One of the security problems in wireless network is packet dropping attacks. In packet dropping attacks, malicious node drops data packet intensively to disturb the network traffic. We studied different agricultural IoT systems and found that most the systems are defenseless against malicious packet dropping attack. In this paper, we proposed novel technique to detect malicious packet dropping attack in IoT platform. The proposed technique is implemented in real-time agriculture application with low-cost IoT devices. The result shows that the proposed technique is able to detect malicious packet dropping effectively with less false positive and false negative. Also it helps to increase the packet delivery rate and throughput of the network.

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Author information

Authors and Affiliations

  1. Department of CSE, Karunya Institute of Technology and Sciences, Coimbatore, India

    J. Sebastian Terence

  2. School of Electrical Engineering, VIT, Vellore, India

    Geethanjali Purushothaman

Authors
  1. J. Sebastian Terence
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  2. Geethanjali Purushothaman
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Corresponding author

Correspondence to Geethanjali Purushothaman .

Editor information

Editors and Affiliations

  1. Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Asis Kumar Tripathy

  2. San Diego State University, San Diego, CA, USA

    Mahasweta Sarkar

  3. Institute of Technical Education and Research (ITER), Siksha ‘O’ Anusandhan (SOA) Deemed to be University, Bhubaneswar, Odisha, India

    Jyoti Prakash Sahoo

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Suchismita Chinara

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Terence, J.S., Purushothaman, G. (2021). Low-Cost Real-Time Implementation of Malicious Packet Dropping Detection in Agricultural IoT Platform. In: Tripathy, A., Sarkar, M., Sahoo, J., Li, KC., Chinara, S. (eds) Advances in Distributed Computing and Machine Learning. Lecture Notes in Networks and Systems, vol 127. Springer, Singapore. https://doi.org/10.1007/978-981-15-4218-3_9

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