Multi-source heterogeneous logs-based correlation analysis for device trustworthiness evaluation
Lu Hou, Hui Ding, Chengjin Lu, Jie Han, Yaoyao Guo · 2025
This paper presents a novel method for evaluating device trustworthiness through the analysis of multi-source heterogeneous logs. By integrating and correlating logs from various origins, such as application, system, network traffic, and security event logs, the framework employs advanced data mining and machine learning techniques to detect anomalies and assess device behavior comprehensively. The proposed method aims to enhance the security and reliability of networked systems by providing a systematic approach to continuous trustworthiness evaluation. Experimental results using real-world datasets demonstrate the effectiveness of the framework in accurately identifying potential security threats and improving overall system robustness.