Nave Bayes Log File Reduction and Analysis
Technical Report,07 Aug 2017,10 Jul 2018
US Army Research Laboratory Aberdeen Proving Ground United States
Pagination or Media Count:
The application of Bayes theorem in computer science dates back to the 1960s and continues to be heavily used in Nave Bayes classifiers in machine learning. In this report, we propose the use of a Nave Bayes-based classifier for automated analysis and data reduction of text-based log files generated by various computer systems and the services they provide. The intended application of this technique is to automate the reduction of voluminous log files to a more manageable size and, with reasonable accuracy, retain log lines containing potential indicators of malicious cybersecurity activity or other infrequent interesting activity that should be examined further through other means.
- Computer Programming and Software
- Statistics and Probability
- Computer Systems Management and Standards