Research Summary: Collaborative Learning for Cyberattack Detection in Blockchain Networks

Great Summary work @Henry

Blockchain networks are not impervious to cyberattacks. They need help from human experts to keep them safe.

I would like to respond to the research question by saying that there is no most effective solution that can detect cyberattacks in blockchain networks. However, the future of blockchain seems promising in this area and many companies are working on it. Blockchain networks are continuously under attack from malicious actors, who seek to exploit the network for financial gain or cause disruption. As the potential targets of cyberattacks, blockchain networks must be guarded against attacks and abuses by adopting appropriate security solutions.

One of these solutions is Collaborative Learning for Cyberattack Detection in Blockchain Networks (CLCDBN). CLCDBN works by actively learning from both positive and negative feedback, using it to update the model parameters, which determine whether events should be detected as anomalous or not. The key idea behind CLCDBN is to leverage on existing knowledge of how computer systems, network systems and blockchain work in order to detect anomalies that could indicate a cyberattack.

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