A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams
Expert Systems with Applications(2020)
摘要
•Thorough comparison of recurrent neural networks for anomaly detection.•Introduction of attentional component enabling explanations for end-users.•Evaluation focusing on ranking metrics with end-users in mind.
更多查看译文
关键词
Deep learning,Intrusion detection,Anomaly detection,Real-world data
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要