Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering.
Hemant RathoreSanjay K. SahayShivin ThukralMohit SewakPublished in: BROADNETS (2020)
Keyphrases
- machine learning
- neural network
- self organizing maps
- pattern recognition
- clustering algorithm
- clustering method
- automatic detection
- unsupervised learning
- machine learning methods
- supervised classification
- k means
- fuzzy logic
- detection rate
- detection method
- learning tasks
- deep learning
- text mining
- natural language processing
- computational intelligence
- artificial neural networks
- model selection
- cluster analysis
- spectral clustering
- fuzzy clustering
- prediction model
- support vector machine
- detect malicious
- document clustering
- data clustering
- false alarms
- bp neural network
- hierarchical clustering
- genetic algorithm
- artificial intelligence
- intrusion detection
- anomaly detection
- information theoretic
- object detection
- supervised learning
- data mining
- art neural network
- computer vision
- multi layer
- neural nets
- decision trees
- knowledge acquisition
- detection algorithm
- high dimensional data
- machine learning algorithms
- false positives
- outlier detection