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    Smart robots' virus defense using data mining technology
    (Walter de Gruyter GmbH, 2023) Ye, Jiao; Patel, Hemant N.; Meena, Sankaranamasivayam; Maaliw, Renato R.; Ajibade, Samuel-Soma M.; Keshta, Ismail
    In order to realize online detection and control of network viruses in robots, the authors propose a data mining-based anti-virus solution for smart robots. First, using internet of things (IoT) intrusion preven tion system design method based on network intrusion signal detection and feedforward modulation filtering design, the overall design description and function analysis are carried out, and then the intrusion signal detection algorithm is designed, and finally, the hardware design and software development for a breach protection solution for the IoT are completed, and the integrated design of the system is realized. The findings demonstrated that based on the mean value of 10,000 tests, the IoT’s average packet loss rate is 0. Conclusion: This system has high accuracy, good performance, and strong compatibility and friendliness.