Title: The perception method of sensitive ideological and political teaching resource leakage based on stain tracking

Authors: Lina Zhao

Addresses: Department of Ideological and Political Theory, Changchun University of Architecture and Civil Engineering, Changchun, 130607, China

Abstract: In order to solve the problems of large detection error, low data sensitivity and long perception time in sensitive ideological and political teaching resource leakage perception, a new sensitive ideological and political teaching resource leakage perception method based on stain tracking is designed. By building a collection model, the data of resources are collected, and the sensitivity of the collected data is determined with the help of cluster division method. The K-anonymity model is constructed to assume that the data vulnerability characteristics are determined, and the inconsistent and consistent eigenvalues are extracted. Initialise and mark data taint, set tracking rules and taint memory pool, build perception model with hash perception algorithm, calculate confidence, and implement method design. The results show that the leakage sensing error of this method is less than 2%, the data sensitivity is more than 90%, and the sensing time is only 9.71 s, which effectively reduces the sensing error and the sensing time and improves the data sensitivity.

Keywords: stain tracking; sensitive ideological and political education resources; leakage perception; cluster division; K-anonymous model.

DOI: 10.1504/IJRIS.2024.139835

International Journal of Reasoning-based Intelligent Systems, 2024 Vol.16 No.3, pp.215 - 223

Received: 14 Dec 2022
Accepted: 14 Mar 2023
Published online: 08 Jul 2024 *

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