Hi @Lisayanky thank you for your comment. In responding to your question, yes, it is possible to detect attacks in an IoT network before the data can be stored in the blockchain network. Recall that the authors proposed an ML-based method, called bidirectional long short-term memory (BiLSTM) to detect attacks in an IoT network before the data is stored in the blockchain network. Although the results showed that they can detect different kinds of attacks with an accuracy of up to 99%, they were validated only on conventional network datasets such as UNSW-NB15 and BoT-IoT datasets. These datasets are collected in conventional computer networks and thus cannot reflect actual traffic in blockchain networks. In particular, these datasets have just general attacks in computer networks without specific attacks in blockchains, e.g., changes in blockchain transactions, incorrect consensus protocol or the break of the chain of blocks. Hope this answers your question?
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