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This paper considers an Internet of Thing (IoT) blockchain network consistingof a leader node and various follower nodes which together implement the RAFTconsensus protocol to verify a blockchain transaction, as requested by ablockchain client. Further, two kinds of active attacks, i.e., jamming andimpersonation, are considered on the IoT blockchain network due to the presenceof multiple {\it active} malicious nodes in the close vicinity. When the IoTnetwork is under the jamming attack, we utilize the stochastic geometry tool toderive the closed-form expressions for the coverage probabilities for bothuplink and downlink IoT transmissions. On the other hand, when the IoT networkis under the impersonation attack, we propose a novel method that enables areceive IoT node to exploit the pathloss of a transmit IoT node as itsfingerprint to implement a binary hypothesis test for transmit nodeidentification. To this end, we also provide the closed-form expressions forthe probabilities of false alarm, missed detection and miss-classification.Finally, we present detailed simulation results that indicate the following: i)the coverage probability improves as the jammers' locations move away from theIoT network, ii) the three error probabilities decrease as a function of thelink quality.

Countering Active Attacks on RAFT-based IoT Blockchain Networks