A Conceptual Hybrid Model of Deep Convolutional Neural Network (DCNN) and Long Short-Term Memory (LSTM) for Masquerade Attack Detection.
Adam Adenike AzeezatOnashoga Sadiat AdebukolaAdebayo Abayomi-AlliOmoyiola Bayo OlusholaPublished in: ICTA (2020)
Keyphrases
- recurrent neural networks
- long short term memory
- hybrid model
- attack detection
- convolutional neural network
- artificial neural networks
- neural network
- multistage
- face detection
- intrusion detection system
- feed forward
- hybrid models
- support vector regression
- support vector machine svm
- back propagation
- cyber attacks
- product recommendation
- intrusion detection
- detection method
- dynamic programming
- support vector machine
- data sets
- k nearest neighbor
- network security