An optimal detection of android malware using dynamic attention-based LSTM classifier.
S. Jebin BoseR. KalaiselviPublished in: J. Intell. Fuzzy Syst. (2023)
Keyphrases
- malware detection
- malicious executables
- support vector machine classifier
- optimal solution
- detect malicious
- training data
- bayes optimal
- dynamic analysis
- binary decision tree
- recurrent neural networks
- reverse engineering
- anomaly detection
- mobile devices
- anti virus
- learning algorithm
- false negative
- learning classifier systems
- machine learning
- automatic detection
- feature selection
- false positives
- detection algorithm
- decision trees
- worst case
- detection rate
- support vector
- dynamic programming
- feature space
- support vector machine
- data sets
- minimum error
- classification accuracy
- dynamic environments
- classification scheme
- feature subset
- classification method