Abstract:
Today, event logging is a widely accepted concept with a number of event formatting standards and event collection protocols. Event logs contain valuable information not ...Show MoreMetadata
Abstract:
Today, event logging is a widely accepted concept with a number of event formatting standards and event collection protocols. Event logs contain valuable information not only about system faults and performance issues, but also about security incidents. Unfortunately, since modern data centers and computer networks are known to produce large volumes of log data, the manual review of collected data is beyond human capabilities. For automating this task, a number of data mining algorithms and tools have been suggested in recent research papers. In this paper, we will describe the application of the LogCluster tool for mining event patterns and anomalous events from security and system logs.
Date of Conference: 01-03 November 2016
Date Added to IEEE Xplore: 26 December 2016
ISBN Information:
Electronic ISSN: 2155-7586
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Event Log ,
- Logistics ,
- Recent Paper ,
- Digital Networks ,
- Data Mining Tools ,
- Anomalous Events ,
- Security Incidents ,
- Heuristic ,
- General Pattern ,
- Clustering Algorithm ,
- Weight Function ,
- Word Frequency ,
- Part-of-speech ,
- Command Line ,
- Clustering Process ,
- Meaningful Patterns ,
- Regular Expressions ,
- Substring ,
- Log Files ,
- Effect Of Outliers ,
- Line Patterns ,
- Support Threshold ,
- Candidate Clusters ,
- Command Line Options ,
- Word Position ,
- Relative Threshold ,
- Sequential Pattern Mining
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Event Log ,
- Logistics ,
- Recent Paper ,
- Digital Networks ,
- Data Mining Tools ,
- Anomalous Events ,
- Security Incidents ,
- Heuristic ,
- General Pattern ,
- Clustering Algorithm ,
- Weight Function ,
- Word Frequency ,
- Part-of-speech ,
- Command Line ,
- Clustering Process ,
- Meaningful Patterns ,
- Regular Expressions ,
- Substring ,
- Log Files ,
- Effect Of Outliers ,
- Line Patterns ,
- Support Threshold ,
- Candidate Clusters ,
- Command Line Options ,
- Word Position ,
- Relative Threshold ,
- Sequential Pattern Mining
- Author Keywords