Computer threat information filtering algorithm based on fusion difference Online publication date: Wed, 01-Dec-2021
by Liang Qian
International Journal of Information and Communication Technology (IJICT), Vol. 20, No. 1, 2022
Abstract: In order to overcome the problems of low information filtering coverage and long time-consuming in traditional computer threat information filtering methods, a new computer threat information filtering algorithm based on fusion difference is proposed. In this algorithm, the user feature model is established by integrating the difference method, and the objective function is introduced to protect the difference privacy data in the computer. Through Chinese word segmentation, feature extraction and weight calculation, user requirements and threshold initialisation, filter matching, and user feedback, are the five steps to achieve computer threat information filtering. The experimental results show that compared with the traditional algorithm, the proposed algorithm has a higher recall rate and a shorter filtering time, the shortest filtering time is only 0.4 min, which shows that the proposed algorithm has a higher practical value.
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