IEEE

Anomaly Detection on Interleaved Log Data With Semantic Association Mining on Log-Entity Graph

Abstract: Logs record crucial information about runtime status of software system, which can be utilized for anomaly detection and fault diagnosis. However, techniques struggle to perform effectively ...
Log Cabin Democrat

CBC women get draw with Randall University

Looking to rebound from a season-opening loss, Central Baptist College women’s soccer returned to the Conway Soccer Complex tonight to host the Saints of Randall University. CBC (0-1-1) took the lead ...
GitHub

Ability to jump to a commit from the log graph window

Is your feature request related to a problem? Please describe. Sometimes I want to be able to jump to a view the diffs of a commit in the log graph (which is visible on the right when my cursor is on ...
GitHub

LogLLM: Log-based Anomaly Detection Using Large Language Models

Experimental Results on HDFS, BGL, Liberty, and Thunderbird datasets. The best results are indicated using bold typeface.
IEEE

FUDD: Threat Hunting Framework Utilizing Graph-Based Anomaly Detection on Log Data

Abstract: Our communication systems face a constant threat of cyberattacks. Advanced attacks go beyond the capabili-ties of established detection methods. Threat Hunting (TH), a hypothesis-driven, ...
The Hacker News

Why SIEM Rules Fail and How to Fix Them: Insights from 160 Million Attack Simulations

Security Information and Event Management (SIEM) systems act as the primary tools for detecting suspicious activity in enterprise networks, helping organizations identify and respond to potential ...