InterPlanetary File System~(IPFS) is one of the most promising decentralized off-chain storage mechanisms, particularly relevant for blockchains, aiming to store the content forever, thus it is crucial to understand its composition, deduce actor intent and investigate its operation and impact. Beyond the network functionality that IPFS offers, assessing the quality of nodes, i.e. analysing and categorising node software and data, is essential to mitigate possible risks and exploitation of IPFS. To this end, in this work we took three daily snapshots of IPFS nodes within a month and analysed each node (by IP address) individually, using threat intelligence feeds. The above enabled us to quantify the number of potentially malicious and/or abused nodes. The outcomes lead us to consider using a filter to isolate malicious nodes from the network, an approach we implemented as a prototype and used for assessment of effectiveness.

翻译：星际文件系统（IPFS）是最具前景的去中心化链下存储机制之一，尤其与区块链密切相关，其目标是将内容永久存储。因此，理解其构成、推断参与者意图并研究其运行和影响至关重要。除IPFS提供的网络功能外，评估节点质量（即分析并分类节点软件和数据）对于缓解IPFS可能面临的风险和滥用至关重要。为此，在本研究中，我们在一个月内对IPFS节点进行了三次每日快照，并利用威胁情报源对每个节点（按IP地址）进行单独分析。上述工作使我们能够量化潜在恶意和/或被滥用节点的数量。基于这些结果，我们考虑采用过滤器将恶意节点从网络中隔离，并将该方法实现为原型，用于有效性评估。