May 29, 2020 · In this paper, a novel method based on recurrent neural networks (RNNs) is used to predict user command sequences and prophesy user behaviors.
The experimental results show that our command sequence-to-sequence model is robust and effective for solving long sequential problem on three different data ...
This paper adopts the sequence-to-sequence model with attention mechanism to detect abnormal user behavior. Like any intrusion detection system, one of the ...
IDSs that target user-level intrusion utilise models that have learned the representation of user behavior typically based on patterns of shell commands and ...
A new approach of user-level intrusion detection with command sequence-to-sequence model. https://doi.org/10.3233/jifs-179659.
A New Approach of Intrusion Detection with Command Sequence-To-Sequence Model ... modeling user's behavior as a component for the intrusion detection system.
A New Approach of Intrusion Detection with Command Sequence-To-Sequence Model. https://doi.org/10.1007/978-981-16-5036-9_19.
People also ask
What is one of the main approaches to intrusion detection based on?
What are intrusion detection models?
Apr 20, 2024 · In this paper, we introduce an intrusion detection system (IDS) that incorporates large-scale self-supervised pre-training to train a language model.
The model has six main components: • Subjects: Initiators of activity on a target system- normally users. • Objects: Resources managed by the system-files, ...
This paper proposes a new way of applying neural networks to detect intrusions. We believe that a user leaves a 'print' when using the system; a neural network ...