Community structure is an important element in distributed network analysis. It helps in the detection of connectivity structure, the identification of undesired centralization, and the identification of crucial nodes. Most of the existing approaches use only topological information and neglect the rich information obtainable from the content data. In this paper, we propose a method that combines both topological data and content data to detect communities within blockchain public networks mainly the Bitcoin network. the proposed method is based on Feedforward Autoencoders and deep feature representations algorithm. Our results show that the community structure and most of the network properties are x4 higher than expected from a distributed network. In the Bitcoin network, nodes prefer to connect to other nodes that share the same characteristics.

This paper presents the development results for the Wireshark dissector of the Ethereum Node Discovery Protocol for monitoring and analyzing Ethereum P2P networks. The new version v5 of the Ethereum Node Discovery Protocol applied encryption to the traffic. Therefore, the Wireshark Node Discovery Protocol based on previous versions, such as the v4 dissector, can no longer be used to analyze the network. This paper develops a dissector that interprets encrypted packets of the Node Discovery Protocol based on Ethereum Node Discovery Protocol v5. Node Discovery Protocol analysis can be used to research network properties and improve network performance.

Bitcoin is a blockchain-based network where thousands of nodes are directly connected and communicate through a gossip-based flooding protocol. Mined blocks are propagated to all participating nodes in the network through compact block relay (CBR) protocol. Therefore, reducing the block relay time between nodes can reduce the block propagation time to all nodes and ultimately improve the performance of Bitcoin. In order to reduce the block relay time, the delivery time between nodes must be measured and analyzed to find the cause of the delay and provide ways to resolve it. Therefore, in this paper, we measure the CBR time between directly connected Bitcoin nodes and analyze the cause of the relay delay. Our results show that the delivery time delay is affected by whether or not a transaction is requested when assembling the compact block. In addition, the reason for requesting a transaction is due to the transaction propagation method and the characteristics of the transaction itself.