Resilience of IOTA Consensus
This study highlights open challenges in designing blockchains for IoT, with incremental findings on specific algorithms.
The paper investigated the convergence and resilience of IOTA consensus algorithms (Fast Probabilistic Consensus and Cellular Consensus) on different network topologies, finding that both have poor convergence rates under low-power adversaries and scale poorly except in Watts-Strogatz topologies.
Blockchains are appealing technologies with various applications ranging from banking to networking. IOTA blockchain is one of the most prominent blockchain specifically designed for IoT environments. In this paper we investigate the convergence of IOTA consensus algorithms: Fast Probabilistic Consensus and Cellular Consensus, when run on top of various topologies. Furthermore, we investigate their resilience to various types of adversaries. Our extensive simulations show that both Cellular Consensus and Fast Probabilistic Consensus have poor convergence rates even under low power adversaries and have poor scaling performances except for the case of Watts Strogatz topologies. Our study points out that the design of IOTs dedicated blockchains is still an open research problem and gives hints design.