Node Health State Assessment Based on Belief Rule Base under DDoS Attacks

Distribution Denial of service (DDoS) attacks have always been a problem in the industrial and academic circles, causing serious threats to the health of Internet nodes. One of the important means of maintaining the health of Internet nodes is performance evaluation. Node health state assessment is important to maintain system safety. However, due to the complexity of the system, it is challenging to assess the health of nodes. One of the methods is to use models with interpretability and result traceability. Thus, we developed a node health state assessment method based on the trustworthiness library. This method had explanatory and traceability and solved the problem of the uncertain expert knowledge in high-coupled nodes. The health status assessment method based on the confident rules library under the DDoS attack is effective and feasible in applications.