TY - JOUR KW - Characteristic indices KW - Communications networks KW - Cryptography KW - Data communication systems KW - Intangible cultural heritages KW - Learning algorithms KW - machine learning KW - Machine learning algorithms KW - Machine-learning KW - Network-based KW - On-machines KW - Sensitive informations KW - Specific values KW - Target tracking KW - Targets tracking KW - Telecommunication networks AU - X. Zhang AU - Y. Jin AB - In order to accurately identify the sensitive information in the intangible cultural heritage communication network and realize the reasonable protection of intangible cultural heritage data, a method for protecting the sensitive information in the intangible cultural heritage communication network based on machine learning is proposed. With the support of machine learning algorithm, the distance measurement results are solved, and then the specific values of compressed characteristic indexes are calculated by establishing a random measurement matrix to complete the tracking and processing of the target parameters of intangible cultural heritage. On this basis, according to the encryption processing results of sensitive information, the implementation standard of OSBE protocol is established, and then with the help of the formed sensitive information processing process, the effective protection of sensitive information of intangible cultural heritage communication network is realized. The results of comparative experiments show that under the effect of machine learning algorithm, the recognition accuracy of the network host for the sensitive information of intangible cultural heritage has significantly improved, and it really has strong practical value in the reasonable protection of intangible cultural heritage data parameters. BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) DO - 10.1007/978-3-031-20099-1_18 LA - English N2 - In order to accurately identify the sensitive information in the intangible cultural heritage communication network and realize the reasonable protection of intangible cultural heritage data, a method for protecting the sensitive information in the intangible cultural heritage communication network based on machine learning is proposed. With the support of machine learning algorithm, the distance measurement results are solved, and then the specific values of compressed characteristic indexes are calculated by establishing a random measurement matrix to complete the tracking and processing of the target parameters of intangible cultural heritage. On this basis, according to the encryption processing results of sensitive information, the implementation standard of OSBE protocol is established, and then with the help of the formed sensitive information processing process, the effective protection of sensitive information of intangible cultural heritage communication network is realized. The results of comparative experiments show that under the effect of machine learning algorithm, the recognition accuracy of the network host for the sensitive information of intangible cultural heritage has significantly improved, and it really has strong practical value in the reasonable protection of intangible cultural heritage data parameters. PY - 2023 SP - 214 EP - 227 T2 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) TI - A Method of Protecting Sensitive Information in Intangible Cultural Heritage Communication Network Based on Machine Learning UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148691741&doi=10.1007%2f978-3-031-20099-1_18&partnerID=40&md5=e2181976dbe5f6bbe46b5f83b97a2af3 VL - 13656 LNCS SN - 03029743 ER -