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Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication

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Abstract

The internet of things (IoT) is able to provide a prediction of linked, universal, and smart nodes that have autonomous interaction when they present services. Because of wide openness, relatively high processing power, and wide distribution of IoT things, they are ideal for attacks of the gray hole. In the gray hole attack, the attacker fakes itself as the shortest path to the destination that is a thing here. This causes the routing packets not to reach the destination. The proposed method is based on the AODV routing protocol and is presented under the MTISS-IoT name which means for the reduction of gray hole attacks using check node information. In this paper, a hybrid approach is proposed based on cryptographic authentication. The proposed approach consists of four phases, such as the verifying node trust in the IoT, testing the routes, gray hole attack discovery, and the malicious attack elimination process in MTISS-IoT. The method is evaluated here via extensive simulations carried out in the NS-3 environment. The experimental results of four scenarios demonstrated that the MTISS-IoT method can achieve a false positive rate of 14.104%, a false negative rate of 17.49%, and a detection rate of 94.5% when gray hole attack was launched.

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Notes

  1. Doubtful.

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Authors and Affiliations

  1. Department of Computer Engineering, Non-Profit Higher Education Institutions, Ahvaz, Iran

    Kobra Mabodi

  2. Department of Computer Engineering, Islamic Azad University, Dolatabad Branch, Isfahan, Iran

    Mehdi Yusefi

  3. Department of Computer, Ardabil Science and Research Branch, Islamic Azad University, Ardabil, Iran

    Shahram Zandiyan

  4. Department of IT and Computer Engineering, Urmia University of Technology, Urmia, Iran

    Leili Irankhah

  5. Faculty of Computer Science and Engineering, Shahid Beheshti University, Tehran, Iran

    Reza Fotohi

Authors
  1. Kobra Mabodi
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  2. Mehdi Yusefi
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  3. Shahram Zandiyan
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  4. Leili Irankhah
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  5. Reza Fotohi
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Correspondence to Reza Fotohi.

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Mabodi, K., Yusefi, M., Zandiyan, S. et al. Multi-level trust-based intelligence schema for securing of internet of things (IoT) against security threats using cryptographic authentication. J Supercomput 76, 7081–7106 (2020). https://doi.org/10.1007/s11227-019-03137-5

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  • DOI: https://doi.org/10.1007/s11227-019-03137-5

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