| Title | Security Classification of Mobile Intelligent Terminal Based on Multi-source Data Fusion |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Deng, Wei, Liu, Wei, Liu, Xinlin, Zhang, Jian |
| Conference Name | 2022 4th International Conference on Frontiers Technology of Information and Computer (ICFTIC) |
| Date Published | dec |
| Keywords | composability, compositionality, computer security, D-S evidence theory, Data integration, evidence theory, intelligent data, mobile intelligent terminal, Multi-source data fusion, pubcrawl, resilience, Resiliency, Safety classification, Scalability, security, Weight calculation |
| Abstract | The application of mobile intelligent terminal in the environment is very complex, and its own computing capacity is also very limited, so it is vulnerable to malicious attacks. The security classification of mobile intelligent terminals can effectively ensure the security of their use. Therefore, a security classification method for mobile intelligent terminals based on multi-source data fusion is proposed. The Boolean value is used to count the multi-source data of the mobile intelligent terminal, and the word frequency method is used to calculate the weight of the multi-source data of the mobile intelligent terminal. The D-S evidence theory is used to complete the multi-source data fusion of the mobile intelligent terminal and implement the multi-source data fusion processing of the mobile intelligent terminal. On this basis, the security level permission value of mobile intelligent terminal is calculated to achieve the security level division of mobile intelligent terminal based on multi-source data fusion. The experimental results show that the accuracy of mobile intelligent terminal security classification is higher than 96% and the classification time is less than 3.8 ms after the application of the proposed method. Therefore, the security level of mobile intelligent terminals after the application of this method is high, and the security performance of mobile intelligent terminals is strong, which can effectively improve the accuracy of security classification and shorten the time of security classification. |
| DOI | 10.1109/ICFTIC57696.2022.10075090 |
| Citation Key | deng_security_2022 |
Security Classification of Mobile Intelligent Terminal Based on Multi-source Data Fusion