Victims Can Be Saviors: A Machine Learning-based Detection for Micro-Architectural Side-Channel Attacks.
Manaar AlamSarani BhattacharyaDebdeep MukhopadhyayPublished in: ACM J. Emerg. Technol. Comput. Syst. (2021)
Keyphrases
- machine learning
- automatic detection
- detection algorithm
- data mining
- smart card
- detection method
- detection accuracy
- false alarms
- machine learning methods
- false positives
- artificial intelligence
- decision trees
- active learning
- text mining
- machine learning and data mining
- data sets
- high level
- transfer learning
- inductive learning
- case study
- detection scheme
- computer science
- explanation based learning
- learning algorithm
- inductive logic programming
- detection rate
- software architecture
- image segmentation
- learning systems
- reinforcement learning
- anomaly detection
- support vector machine