Jun 8, 2018 · In this paper, an intrusion detection model based on the MEA-Elman neural network is proposed. Firstly, GA algorithm is used to reduce the ...
In this paper, an intrusion detection model based on the MEA-Elman neural network is proposed. Firstly, GA algorithm is used to reduce the dimension of the ...
People also ask
What is the Elman neural network model?
What are the network intrusion detection system models?
Intrusion Detection Model Based on GA Dimension Reduction and MEA-Elman Neural Network · A Distributed Intrusion Detection System for Computer Networks using ...
The present paper proposes a machine learning method for intrusion information detection, which can fully exploit the envelope advantages of Elman neural ...
Missing: MEA- | Show results with:MEA-
Most of these IDSs are developed by using Neural Network for Pattern Recognition and are alimented by KDD data. However, some KDD-features have eighter no role, ...
This paper briefly introduces the probabilistic neural network and principal component analysis method, and combines them for detection of network intrusion ...
Zhang et al. [31] have built an intrusion detection model based mainly on Elman neural network, which is optimized by using Mind Evolutionary Algorithm (MEA) ...
Mar 25, 2015 · To effectively and accurately detect and classify network intrusion data, this paper introduces a general regression neural network (GRNN) ...
Missing: MEA- | Show results with:MEA-
In our NIDS framework, we use Suricata as a signature based detection to uncover known attacks, while for detecting network anomaly, we use Isolation Forest ...
This paper proposes a novel IDS framework to overcome these IDS problems. The proposed framework including three main parts.
Missing: MEA- | Show results with:MEA-