Design of an Anomaly-based Threat Detection & Explication System
Author:
Affiliation:
1. St. Pölten University of Applied Sciences and De Montfort University, Austria
2. St. Pölten University of Applied Sciences, Austria
3. De Montfort University, United Kingdom
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Study on Supervised Machine Learning Technique to Detect Anomalies in Networks;Advances in Library and Information Science;2021
2. AIDIS: Detecting and classifying anomalous behavior in ubiquitous kernel processes;Computers & Security;2019-07
3. A Method of Monitoring and Detecting APT Attacks Based on Unknown Domains;Procedia Computer Science;2019
4. MEDUSA: Malware Detection Using Statistical Analysis of System's Behavior;2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC);2018-10
5. SEQUIN: a grammar inference framework for analyzing malicious system behavior;Journal of Computer Virology and Hacking Techniques;2018-03-26
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