This work describes the usage of machine learning methods for processing logging information on LogMan.io system. The work includes a description of methods of processing logging information for the purposes of security monitoring, as well as machine learning methods and principles of data processing. Subsequently, the work focuses on the introduction of the LogMan.io system and its components. Then, an application for processing logging information is designed and implemented on LogMan.io system, which uses machine learning methods to detect malign domains. When implementing the application for model training, several methods were used focusing on the accuracy of detection.
This thesis evaluates the performance of different machine learning approaches to log classification...
We address several problems in intelligent log management of distributed cloud computing application...
Continuous integration is a practice where software developers integrate their code to a bigger code...
Currently, the use of information technologies is growing very fast in private or public companies....
A computer system generates logs to record all relevant operational data about the system and all op...
In recent years due to rapid growth of information technology and easy access to computers, digital ...
Many problems exist in the testing of a large scale system. The automated testing results are not re...
Logging security-related events is becoming increasingly important for companies. Log messages can b...
Modern software development and operations rely on monitoring to understand how systems behave in pr...
Logs generated by the applications, devices, and servers contain information that can be used to det...
Digital crimes are increasing exponentially and people with possession of even a simple digital devi...
Logging is a common practice in software development that assists developers with the maintenance of...
Background: A problematic area in today’s large scale distributed systems is the exponential amount ...
A research endeavor in the field of cyber security is being carried out under the working title of "...
Modern enterprise IT systems generate large amounts of log data to record system state, potential er...
This thesis evaluates the performance of different machine learning approaches to log classification...
We address several problems in intelligent log management of distributed cloud computing application...
Continuous integration is a practice where software developers integrate their code to a bigger code...
Currently, the use of information technologies is growing very fast in private or public companies....
A computer system generates logs to record all relevant operational data about the system and all op...
In recent years due to rapid growth of information technology and easy access to computers, digital ...
Many problems exist in the testing of a large scale system. The automated testing results are not re...
Logging security-related events is becoming increasingly important for companies. Log messages can b...
Modern software development and operations rely on monitoring to understand how systems behave in pr...
Logs generated by the applications, devices, and servers contain information that can be used to det...
Digital crimes are increasing exponentially and people with possession of even a simple digital devi...
Logging is a common practice in software development that assists developers with the maintenance of...
Background: A problematic area in today’s large scale distributed systems is the exponential amount ...
A research endeavor in the field of cyber security is being carried out under the working title of "...
Modern enterprise IT systems generate large amounts of log data to record system state, potential er...
This thesis evaluates the performance of different machine learning approaches to log classification...
We address several problems in intelligent log management of distributed cloud computing application...
Continuous integration is a practice where software developers integrate their code to a bigger code...