QLLog: A log anomaly detection method based on Q-learning algorithm

Q-Learning: Theory and Applications

(2020) Jesse Clifton et al.   Annual Review of Statistics and Its Application

Real-time anomaly detection based on long short-Term memory and Gaussian Mixture Model

(2019) Nan Ding et al.   COMPUTERS & ELECTRICAL ENGINEERING

A scheduling scheme in the cloud computing environment using deep Q-learning

(2019) Zhao Tong et al.   INFORMATION SCIENCES

Generalized support vector data description for anomaly detection

(2019) Mehmet Turkoz et al.   PATTERN RECOGNITION

A deep Recurrent Neural Network based approach for Internet of Things malware threat hunting

(2018) Hamed HaddadPajouh et al.   Future Generation Computer Systems-The International Journal of eScience

Real-time event detection from the Twitter data stream using the TwitterNews+ Framework

(2018) Mahmud Hasan et al.   INFORMATION PROCESSING & MANAGEMENT

Prediction of drive-by download attacks on Twitter

(2018) Amir Javed et al.   INFORMATION PROCESSING & MANAGEMENT

DILAF: A framework for distributed analysis of large-scale system logs for anomaly detection

(2018) Merve Astekin et al.   SOFTWARE-PRACTICE & EXPERIENCE

Deep learning

(2015) Yann LeCun et al.   NATURE