Abstract
In spite of modernization of humanity, in emergency situations like after any natural calamity our infrastructure-based network backbone gets affected first. Disaster relief volunteers face the immense pain to set up a communication system, due to the failure of telecommunication infrastructure and long-standing power. Smartphones are the most preferable devices, operating and acting in delay-tolerant mode through Bluetooth/Wi-Fi, for setting up a peer-to-peer network enabling communication in post-disaster network. It is now popularly known as delay-/disruption-tolerant network (DTN). In this network, a node can misbehave and fail to establish a route or direct the data to neighbor node due to its malicious activity to decrease the performance of overall network. If a node suddenly drops messages after receiving, then it is known as black hole node. Black hole nodes do not forward any messages and can also destroy the message forever. A node may also act as a partially black hole node with the character of selective dropping. However, black hole nodes can hamper the overall performance of the network. In this paper, we have proposed a method to detect and avoid the malicious nodes forming black hole attack in DTN. We also evaluate the scheme using ONE simulator.
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Chakrabarti, C. et al. (2020). Detection of Black Hole Attack in Delay-Tolerant Network. In: Maharatna, K., Kanjilal, M., Konar, S., Nandi, S., Das, K. (eds) Computational Advancement in Communication Circuits and Systems. Lecture Notes in Electrical Engineering, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-13-8687-9_19
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DOI: https://doi.org/10.1007/978-981-13-8687-9_19
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