Log-Based Malicious Activity Detection Using Machine and Deep Learning

摘要: This chapter describes the application of intelligent computational techniques to problem malicious activity detection. It is proposed embed machine and deep learning models for detection into framework a log-based decision support system (DSS) information security administrators. expected that such solution will enable organizational-wide protection informational assets, by providing accurate comprehensive real-time insights violations policies. In this work, we present experiments results on database systems’ log analysis using traditional (ML) methods (DL) synthetic dataset simulating user in hypothetical company.