Deep Clustering Network for Steganographer Detection Using Latent Features Extracted from a Novel Convolutional Autoencoder.
Amrutha EzhilarasanS. ArivazhaganW. Sylvia Lilly JebaraniPublished in: Neural Process. Lett. (2023)
Keyphrases
- unsupervised feature learning
- false positives
- clustering algorithm
- deep learning
- extracted features
- automatically extracted
- low level
- similarity function
- extracting features
- peer to peer
- feature vectors
- network structure
- high dimensionality
- neural network
- feature space
- network architecture
- false alarms
- anomaly detection
- co occurrence
- detection rate
- link prediction
- document clustering
- network model
- self organizing maps
- wireless sensor networks
- detection method
- textural features
- restricted boltzmann machine
- characteristic features
- object detection