Pre-processing and Event Analysis for Heterogeneous Logs: An Unsupervised Approach
Keywords:
Log Based Event Analysis, Network Log, Log Analysis, Network Security, Intrusion Detection and Anomaly Detection, Heterogeneous logs.Abstract
The accelerated adoption of digital technologies and interconnected systems has necessitated the comprehensive analysis of log files, especially those of a heterogeneous nature. These log files serve as invaluable data sources for a wide array of applications, ranging from cybersecurity to business analytics. Despite their importance, the complexity and diversity of these logs pose significant challenges for effective data interpretation. Addressing this research introduces a groundbreaking, unsupervised methodology aimed at the in-depth analysis and preprocessing of heterogeneous log files. Utilizing a series of advanced algorithms and custom-tailored preprocessing techniques such as HDBSCAN, the proposed approach transcends traditional methods. It offers marked improvements in computational efficiency, result accuracy, and system adaptability. Moreover, through empirical studies, the approach has demonstrated its capability to adapt to the ever-evolving technological landscape, thus fulfilling a gap in contemporary data analysis paradigms.
